Add summary #251

summary/sessions/251/attendees.adoc

@@ -0,0 +1,3 @@
+==== Attendees
+
+. // Attendees to be added soon

summary/sessions/251/content.adoc

@@ -0,0 +1,86 @@
+Date: 29-08-2025
+
+Duration: Yet to be confirmed
+
+==== Topics Discussed
+
+* Ayush kicked off a discussion on **probability and algorithms**, specifically diving into **entropy encoders** like Huffman, Arithmetic, rANS, and tANS.
+ ** He broke down concepts like `Log2(number of symbols)` and `2^n` in coding.
+ ** He also explained **arithmetic coding**, highlighting its efficiency from `O(2^n)` to `O(n)`, and touched on cumulative frequency and probability functions.
+ *** link:[https://stanforddatacompressionclass.github.io/Fall22/lectures](https://stanforddatacompressionclass.github.io/Fall22/lectures)[Stanford Data Compression Class Lectures^]
+* Lucky Mee, who's returning to tech after some time, asked for advice.
+ ** Harsh strongly suggested focusing on **system designs**.
+ ** He also emphasized the importance of planning thoroughly before execution.
+* Abhigyan showcased his project on **stock analysis using AI agents**.
+ ** He shared a research report he generated from the agents.
+ ** He demonstrated how these reports provided structured outputs, detailing weaknesses, strengths, conclusions, graphs, and metrics.
+ *** link:[https://www.deeplearning.ai/the-batch](https://www.deeplearning.ai/the-batch)[DeepLearning.AI The Batch Newsletter^]
+ *** link:[https://platform.openai.com/docs/guides/structured-outputs](https://platform.openai.com/docs/guides/structured-outputs)[OpenAI Guides: Structured Outputs^]
+* Chetan Jahangir shared some insights about **Builder AI**.
+ ** He mentioned how the company allegedly scammed Microsoft.
+ ** This sparked a conversation about how we should approach data derived from AI and LLMs.
+* Ayush provided an update on his **SIH project**.
+ ** He's concentrating on smart system design for hardware.
+ ** He's currently learning about the **STM32 microprocessor**.
+ *** link:[https://en.wikipedia.org/wiki/STM32](https://en.wikipedia.org/wiki/STM32)[STM32 Wikipedia^]
+ *** link:[https://www.st.com/en/evaluation-tools/stm32-nucleo-boards.html](https://www.st.com/en/evaluation-tools/stm32-nucleo-boards.html)[STM32 Nucleo Boards^]
+* Harsh questioned how **MCP (Multiple Connected Models)** relates to agentic AI.
+ ** Abhigyan and Chetan clarified that it's essentially multiple models linked to a central one.
+ ** They illustrated this with an example: a request for a weather update goes to the MCP, which then routes it to various models, with the configuration depending on the user.
+* Chetan Jahangir sought advice on getting started with **research papers**.
+ ** He asked for tips on how to begin and how to connect with people who write research papers to get involved and share knowledge.
+ ** Rishit suggested reaching out to seniors and their professors.
+ *** link:[https://icml.cc/Conferences/2022/BestPractices](https://icml.cc/Conferences/2022/BestPractices)[ICML 2022 Best Practices for Research^]
+* Swapnil Borkar discussed **AI and its impact on jobs**.
+ ** He shared concerns about how AI could threaten junior roles if not utilized effectively.
+* Jaden Furtado talked about **UPI, UPI Lite, and UPI Lite X**.
+ ** link:[https://www.npci.org.in/what-we-do/upi-lite/product-overview](https://www.npci.org.in/what-we-do/upi-lite/product-overview)[UPI Lite Product Overview - NPCI^]
+ ** link:[https://www.npci.org.in/what-we-do/upi-lite/upi-lite-x/product-overview](https://www.npci.org.in/what-we-do/upi-lite/upi-lite-x/product-overview)[UPI Lite X Product Overview - NPCI^]
+
+---
+
+* **Additional Resources and Links**
+
+ ** link:[https://people.math.harvard.edu/~ctm/home/text/others/shannon/entropy/entropy.pdf](https://people.math.harvard.edu/~ctm/home/text/others/shannon/entropy/entropy.pdf)[A Mathematical Theory of Communication by C. E. Shannon^]
+ ** link:[https://stanforddatacompressionclass.github.io/Fall22](https://stanforddatacompressionclass.github.io/Fall22)[Stanford Data Compression Course Home^]
+ ** link:[https://youtu.be/BiuknvAYDPs](https://youtu.be/BiuknvAYDPs)[What is Data Compression? (Information Theory Pt. 1)^]
+ ** link:[https://youtu.be/8_GgeASwHwQ](https://youtu.be/8_GgeASwHwQ)[The Browser Backstage by Vivek Galatage^]
+ ** link:[https://youtu.be/QgVR1dxy6zk](https://youtu.be/QgVR1dxy6zk)[What are Codes and Codewords? (Information Theory Pt. 2)^]
+ ** link:[https://youtu.be/fpkCNu_dzcM](https://youtu.be/fpkCNu_dzcM)[What is an Instantaneous Code? (Information Theory Pt. 3)^]
+ ** link:[https://youtu.be/tnPAhVxsPHE](https://youtu.be/tnPAhVxsPHE)[What is a Prefix Code? (Information Theory Pt. 4)^]
+ ** link:[https://youtu.be/D4hNLgJmshg](https://youtu.be/D4hNLgJmshg)[Kraft's Inequality (Information Theory Pt. 5)^]
+ ** link:[https://youtu.be/O9QD9an-0jU](https://youtu.be/O9QD9an-0jU)[Optimal Codes (Information Theory Pt. 6)^]
+ ** link:[https://youtu.be/pOF11EDprxc](https://youtu.be/pOF11EDprxc)[What is Entropy in Information Theory? (Information Theory Pt. 7)^]
+ ** link:[https://youtu.be/rcBVqcoQkuA](https://youtu.be/rcBVqcoQkuA)[What is Huffman Coding? (Information Theory Pt. 8)^]
+ ** link:[https://youtu.be/q7kqrGC_sXE](https://youtu.be/q7kqrGC_sXE)[What is Lempel-Ziv (LZ77) Compression? (Information Theory Pt. 9)^]
+ ** link:[https://youtu.be/_bbuRFT2l-Q](https://youtu.be/_bbuRFT2l-Q)[What is Arithmetic Coding? (Information Theory Pt. 10)^]
+ ** link:[https://youtu.be/2JzOe1Hs26Q](https://youtu.be/2JzOe1Hs26Q)[Shannon's Source Coding Theorem (Information Theory Pt. 11)^]
+ ** link:[https://youtu.be/fzlflyw7X2I](https://youtu.be/fzlflyw7X2I)[What is a communication channel? (Information Theory Pt. 12)^]
+ ** link:[https://youtu.be/55MwAlcpvK4](https://youtu.be/55MwAlcpvK4)[Joint Entropy (Information Theory Pt. 13)^]
+ ** link:[https://ai.pydantic.dev/agents](https://ai.pydantic.dev/agents)[Pydantic AI Agents Documentation^]
+ ** link:[https://youtu.be/PhCrlpUwEhU](https://youtu.be/PhCrlpUwEhU)[This Open-Source AI Agent will change the world (YouTube)^]
+ ** link:[https://medium.com/@thomas_78526/builder-ai-was-a-scam-d1f8fdd16c3f](https://medium.com/@thomas_78526/builder-ai-was-a-scam-d1f8fdd16c3f)[Builder.ai Was a Scam - Medium Article^]
+ ** link:[https://github.com/TecharoHQ/anubis](https://github.com/TecharoHQ/anubis)[Anubis GitHub Project (TecharoHQ)^]
+ ** link:[https://www.beatflow.art](https://www.beatflow.art)[Beatflow Art Platform^]
+ ** link:[https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://people.math.harvard.edu/~ctm/home/text/others/shannon/entropy/entropy.pdf&ved=2ahUKEwis_P6ph7OPAxU4-jgGHUYDAisQFnoECBkQAQ&usg=AOvVaw1VCVoCuO8X0GVoGNNkRcPb](https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://people.math.harvard.edu/~ctm/home/text/others/shannon/entropy/entropy.pdf&ved=2ahUKEwis_P6ph7OPAxU4-jgGHUYDAisQFnoECBkQAQ&usg=AOvVaw1VCVoCuO8X0GVoGNNkRcPb)[Shannon Information Theory PDF^]
+ ** link:[https://stanforddatacompressionclass.github.io/Fall22/](https://stanforddatacompressionclass.github.io/Fall22/)[Stanford Data Compression Course Home^]
+ ** link:[https://youtu.be/BiuknvAYDPs](https://youtu.be/BiuknvAYDPs)[Data Compression Concepts Part 1^]
+ ** link:[https://youtu.be/8_GgeASwHwQ](https://youtu.be/8_GgeASwHwQ)[Data Compression Concepts Part 2^]
+ ** link:[https://youtu.be/QgVR1dxy6zk](https://youtu.be/QgVR1dxy6zk)[Data Compression Concepts Part 3^]
+ ** link:[https://youtu.be/fpkCNu_dzcM](https://youtu.be/fpkCNu_dzcM)[Data Compression Concepts Part 4^]
+ ** link:[https://youtu.be/tnPAhVxsPHE](https://youtu.be/tnPAhVxsPHE)[Data Compression Concepts Part 5^]
+ ** link:[https://youtu.be/D4hNLgJmshg](https://youtu.be/D4hNLgJmshg)[Data Compression Concepts Part 6^]
+ ** link:[https://youtu.be/O9QD9an-0jU](https://youtu.be/O9QD9an-0jU)[Data Compression Concepts Part 7^]
+ ** link:[https://youtu.be/pOF11EDprxc](https://youtu.be/pOF11EDprxc)[Data Compression Concepts Part 8^]
+ ** link:[https://youtu.be/rcBVqcoQkuA](https://youtu.be/rcBVqcoQkuA)[Data Compression Concepts Part 9^]
+ ** link:[https://youtu.be/q7kqrGC_sXE](https://youtu.be/q7kqrGC_sXE)[Data Compression Concepts Part 10^]
+ ** link:[https://youtu.be/_bbuRFT2l-Q](https://youtu.be/_bbuRFT2l-Q)[Data Compression Concepts Part 11^]
+ ** link:[https://youtu.be/2JzOe1Hs26Q](https://youtu.be/2JzOe1Hs26Q)[Data Compression Concepts Part 12^]
+ ** link:[https://youtu.be/fzlflyw7X2I](https://youtu.be/fzlflyw7X2I)[Data Compression Concepts Part 13^]
+ ** link:[https://youtu.be/55MwAlcpvK4](https://youtu.be/55MwAlcpvK4)[Data Compression Concepts Part 14^]
+ ** link:[https://ai.pydantic.dev/agents](https://ai.pydantic.dev/agents)[Pydantic AI Agents^]
+ ** link:[https://youtu.be/PhCrlpUwEhU?si=i6CuMYassZm8Phh](https://youtu.be/PhCrlpUwEhU?si=i6CuMYassZm8Phh)_[Open-source Agentic RAG Video^]
+ ** link:[https://medium.com/@thomas_78526/builder-ai-was-a-scam-d1f8fdd16c3f](https://medium.com/@thomas_78526/builder-ai-was-a-scam-d1f8fdd16c3f)[Builder AI Scam Article^]
+ ** link:[https://github.com/TecharoHQ/anubis](https://github.com/TecharoHQ/anubis)[Anubis GitHub Project^]
+ ** link:[https://www.beatflow.art](https://www.beatflow.art)[Beatflow Art Platform^]
+

summary/sessions/251/attendees.adoc

@@ -0,0 +1,3 @@
+==== Attendees
+
+. // Attendees to be added soon

summary/sessions/251/content.adoc

@@ -0,0 +1,86 @@
+Date: 29-08-2025
+
+Duration: Yet to be confirmed
+
+==== Topics Discussed
+
+* Ayush kicked off a discussion on **probability and algorithms**, specifically diving into **entropy encoders** like Huffman, Arithmetic, rANS, and tANS.
+ ** He broke down concepts like `Log2(number of symbols)` and `2^n` in coding.
+ ** He also explained **arithmetic coding**, highlighting its efficiency from `O(2^n)` to `O(n)`, and touched on cumulative frequency and probability functions.
+ *** link:[https://stanforddatacompressionclass.github.io/Fall22/lectures](https://stanforddatacompressionclass.github.io/Fall22/lectures)[Stanford Data Compression Class Lectures^]
+* Lucky Mee, who's returning to tech after some time, asked for advice.
+ ** Harsh strongly suggested focusing on **system designs**.
+ ** He also emphasized the importance of planning thoroughly before execution.
+* Abhigyan showcased his project on **stock analysis using AI agents**.
+ ** He shared a research report he generated from the agents.
+ ** He demonstrated how these reports provided structured outputs, detailing weaknesses, strengths, conclusions, graphs, and metrics.
+ *** link:[https://www.deeplearning.ai/the-batch](https://www.deeplearning.ai/the-batch)[DeepLearning.AI The Batch Newsletter^]
+ *** link:[https://platform.openai.com/docs/guides/structured-outputs](https://platform.openai.com/docs/guides/structured-outputs)[OpenAI Guides: Structured Outputs^]
+* Chetan Jahangir shared some insights about **Builder AI**.
+ ** He mentioned how the company allegedly scammed Microsoft.
+ ** This sparked a conversation about how we should approach data derived from AI and LLMs.
+* Ayush provided an update on his **SIH project**.
+ ** He's concentrating on smart system design for hardware.
+ ** He's currently learning about the **STM32 microprocessor**.
+ *** link:[https://en.wikipedia.org/wiki/STM32](https://en.wikipedia.org/wiki/STM32)[STM32 Wikipedia^]
+ *** link:[https://www.st.com/en/evaluation-tools/stm32-nucleo-boards.html](https://www.st.com/en/evaluation-tools/stm32-nucleo-boards.html)[STM32 Nucleo Boards^]
+* Harsh questioned how **MCP (Multiple Connected Models)** relates to agentic AI.
+ ** Abhigyan and Chetan clarified that it's essentially multiple models linked to a central one.
+ ** They illustrated this with an example: a request for a weather update goes to the MCP, which then routes it to various models, with the configuration depending on the user.
+* Chetan Jahangir sought advice on getting started with **research papers**.
+ ** He asked for tips on how to begin and how to connect with people who write research papers to get involved and share knowledge.
+ ** Rishit suggested reaching out to seniors and their professors.
+ *** link:[https://icml.cc/Conferences/2022/BestPractices](https://icml.cc/Conferences/2022/BestPractices)[ICML 2022 Best Practices for Research^]
+* Swapnil Borkar discussed **AI and its impact on jobs**.
+ ** He shared concerns about how AI could threaten junior roles if not utilized effectively.
+* Jaden Furtado talked about **UPI, UPI Lite, and UPI Lite X**.
+ ** link:[https://www.npci.org.in/what-we-do/upi-lite/product-overview](https://www.npci.org.in/what-we-do/upi-lite/product-overview)[UPI Lite Product Overview - NPCI^]
+ ** link:[https://www.npci.org.in/what-we-do/upi-lite/upi-lite-x/product-overview](https://www.npci.org.in/what-we-do/upi-lite/upi-lite-x/product-overview)[UPI Lite X Product Overview - NPCI^]
+
+---
+
+* **Additional Resources and Links**
+
+ ** link:[https://people.math.harvard.edu/~ctm/home/text/others/shannon/entropy/entropy.pdf](https://people.math.harvard.edu/~ctm/home/text/others/shannon/entropy/entropy.pdf)[A Mathematical Theory of Communication by C. E. Shannon^]
+ ** link:[https://stanforddatacompressionclass.github.io/Fall22](https://stanforddatacompressionclass.github.io/Fall22)[Stanford Data Compression Course Home^]
+ ** link:[https://youtu.be/BiuknvAYDPs](https://youtu.be/BiuknvAYDPs)[What is Data Compression? (Information Theory Pt. 1)^]
+ ** link:[https://youtu.be/8_GgeASwHwQ](https://youtu.be/8_GgeASwHwQ)[The Browser Backstage by Vivek Galatage^]
+ ** link:[https://youtu.be/QgVR1dxy6zk](https://youtu.be/QgVR1dxy6zk)[What are Codes and Codewords? (Information Theory Pt. 2)^]
+ ** link:[https://youtu.be/fpkCNu_dzcM](https://youtu.be/fpkCNu_dzcM)[What is an Instantaneous Code? (Information Theory Pt. 3)^]
+ ** link:[https://youtu.be/tnPAhVxsPHE](https://youtu.be/tnPAhVxsPHE)[What is a Prefix Code? (Information Theory Pt. 4)^]
+ ** link:[https://youtu.be/D4hNLgJmshg](https://youtu.be/D4hNLgJmshg)[Kraft's Inequality (Information Theory Pt. 5)^]
+ ** link:[https://youtu.be/O9QD9an-0jU](https://youtu.be/O9QD9an-0jU)[Optimal Codes (Information Theory Pt. 6)^]
+ ** link:[https://youtu.be/pOF11EDprxc](https://youtu.be/pOF11EDprxc)[What is Entropy in Information Theory? (Information Theory Pt. 7)^]
+ ** link:[https://youtu.be/rcBVqcoQkuA](https://youtu.be/rcBVqcoQkuA)[What is Huffman Coding? (Information Theory Pt. 8)^]
+ ** link:[https://youtu.be/q7kqrGC_sXE](https://youtu.be/q7kqrGC_sXE)[What is Lempel-Ziv (LZ77) Compression? (Information Theory Pt. 9)^]
+ ** link:[https://youtu.be/_bbuRFT2l-Q](https://youtu.be/_bbuRFT2l-Q)[What is Arithmetic Coding? (Information Theory Pt. 10)^]
+ ** link:[https://youtu.be/2JzOe1Hs26Q](https://youtu.be/2JzOe1Hs26Q)[Shannon's Source Coding Theorem (Information Theory Pt. 11)^]
+ ** link:[https://youtu.be/fzlflyw7X2I](https://youtu.be/fzlflyw7X2I)[What is a communication channel? (Information Theory Pt. 12)^]
+ ** link:[https://youtu.be/55MwAlcpvK4](https://youtu.be/55MwAlcpvK4)[Joint Entropy (Information Theory Pt. 13)^]
+ ** link:[https://ai.pydantic.dev/agents](https://ai.pydantic.dev/agents)[Pydantic AI Agents Documentation^]
+ ** link:[https://youtu.be/PhCrlpUwEhU](https://youtu.be/PhCrlpUwEhU)[This Open-Source AI Agent will change the world (YouTube)^]
+ ** link:[https://medium.com/@thomas_78526/builder-ai-was-a-scam-d1f8fdd16c3f](https://medium.com/@thomas_78526/builder-ai-was-a-scam-d1f8fdd16c3f)[Builder.ai Was a Scam - Medium Article^]
+ ** link:[https://github.com/TecharoHQ/anubis](https://github.com/TecharoHQ/anubis)[Anubis GitHub Project (TecharoHQ)^]
+ ** link:[https://www.beatflow.art](https://www.beatflow.art)[Beatflow Art Platform^]
+ ** link:[https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://people.math.harvard.edu/~ctm/home/text/others/shannon/entropy/entropy.pdf&ved=2ahUKEwis_P6ph7OPAxU4-jgGHUYDAisQFnoECBkQAQ&usg=AOvVaw1VCVoCuO8X0GVoGNNkRcPb](https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://people.math.harvard.edu/~ctm/home/text/others/shannon/entropy/entropy.pdf&ved=2ahUKEwis_P6ph7OPAxU4-jgGHUYDAisQFnoECBkQAQ&usg=AOvVaw1VCVoCuO8X0GVoGNNkRcPb)[Shannon Information Theory PDF^]
+ ** link:[https://stanforddatacompressionclass.github.io/Fall22/](https://stanforddatacompressionclass.github.io/Fall22/)[Stanford Data Compression Course Home^]
+ ** link:[https://youtu.be/BiuknvAYDPs](https://youtu.be/BiuknvAYDPs)[Data Compression Concepts Part 1^]
+ ** link:[https://youtu.be/8_GgeASwHwQ](https://youtu.be/8_GgeASwHwQ)[Data Compression Concepts Part 2^]
+ ** link:[https://youtu.be/QgVR1dxy6zk](https://youtu.be/QgVR1dxy6zk)[Data Compression Concepts Part 3^]
+ ** link:[https://youtu.be/fpkCNu_dzcM](https://youtu.be/fpkCNu_dzcM)[Data Compression Concepts Part 4^]
+ ** link:[https://youtu.be/tnPAhVxsPHE](https://youtu.be/tnPAhVxsPHE)[Data Compression Concepts Part 5^]
+ ** link:[https://youtu.be/D4hNLgJmshg](https://youtu.be/D4hNLgJmshg)[Data Compression Concepts Part 6^]
+ ** link:[https://youtu.be/O9QD9an-0jU](https://youtu.be/O9QD9an-0jU)[Data Compression Concepts Part 7^]
+ ** link:[https://youtu.be/pOF11EDprxc](https://youtu.be/pOF11EDprxc)[Data Compression Concepts Part 8^]
+ ** link:[https://youtu.be/rcBVqcoQkuA](https://youtu.be/rcBVqcoQkuA)[Data Compression Concepts Part 9^]
+ ** link:[https://youtu.be/q7kqrGC_sXE](https://youtu.be/q7kqrGC_sXE)[Data Compression Concepts Part 10^]
+ ** link:[https://youtu.be/_bbuRFT2l-Q](https://youtu.be/_bbuRFT2l-Q)[Data Compression Concepts Part 11^]
+ ** link:[https://youtu.be/2JzOe1Hs26Q](https://youtu.be/2JzOe1Hs26Q)[Data Compression Concepts Part 12^]
+ ** link:[https://youtu.be/fzlflyw7X2I](https://youtu.be/fzlflyw7X2I)[Data Compression Concepts Part 13^]
+ ** link:[https://youtu.be/55MwAlcpvK4](https://youtu.be/55MwAlcpvK4)[Data Compression Concepts Part 14^]
+ ** link:[https://ai.pydantic.dev/agents](https://ai.pydantic.dev/agents)[Pydantic AI Agents^]
+ ** link:[https://youtu.be/PhCrlpUwEhU?si=i6CuMYassZm8Phh](https://youtu.be/PhCrlpUwEhU?si=i6CuMYassZm8Phh)_[Open-source Agentic RAG Video^]
+ ** link:[https://medium.com/@thomas_78526/builder-ai-was-a-scam-d1f8fdd16c3f](https://medium.com/@thomas_78526/builder-ai-was-a-scam-d1f8fdd16c3f)[Builder AI Scam Article^]
+ ** link:[https://github.com/TecharoHQ/anubis](https://github.com/TecharoHQ/anubis)[Anubis GitHub Project^]
+ ** link:[https://www.beatflow.art](https://www.beatflow.art)[Beatflow Art Platform^]
+

summary/sessions/251/attendees.adoc

@@ -0,0 +1,3 @@
+==== Attendees
+
+. // Attendees to be added soon

summary/sessions/251/content.adoc

@@ -0,0 +1,86 @@
+Date: 29-08-2025
+
+Duration: Yet to be confirmed
+
+==== Topics Discussed
+
+* Ayush kicked off a discussion on **probability and algorithms**, specifically diving into **entropy encoders** like Huffman, Arithmetic, rANS, and tANS.
+ ** He broke down concepts like `Log2(number of symbols)` and `2^n` in coding.
+ ** He also explained **arithmetic coding**, highlighting its efficiency from `O(2^n)` to `O(n)`, and touched on cumulative frequency and probability functions.
+ *** link:[https://stanforddatacompressionclass.github.io/Fall22/lectures](https://stanforddatacompressionclass.github.io/Fall22/lectures)[Stanford Data Compression Class Lectures^]
+* Lucky Mee, who's returning to tech after some time, asked for advice.
+ ** Harsh strongly suggested focusing on **system designs**.
+ ** He also emphasized the importance of planning thoroughly before execution.
+* Abhigyan showcased his project on **stock analysis using AI agents**.
+ ** He shared a research report he generated from the agents.
+ ** He demonstrated how these reports provided structured outputs, detailing weaknesses, strengths, conclusions, graphs, and metrics.
+ *** link:[https://www.deeplearning.ai/the-batch](https://www.deeplearning.ai/the-batch)[DeepLearning.AI The Batch Newsletter^]
+ *** link:[https://platform.openai.com/docs/guides/structured-outputs](https://platform.openai.com/docs/guides/structured-outputs)[OpenAI Guides: Structured Outputs^]
+* Chetan Jahangir shared some insights about **Builder AI**.
+ ** He mentioned how the company allegedly scammed Microsoft.
+ ** This sparked a conversation about how we should approach data derived from AI and LLMs.
+* Ayush provided an update on his **SIH project**.
+ ** He's concentrating on smart system design for hardware.
+ ** He's currently learning about the **STM32 microprocessor**.
+ *** link:[https://en.wikipedia.org/wiki/STM32](https://en.wikipedia.org/wiki/STM32)[STM32 Wikipedia^]
+ *** link:[https://www.st.com/en/evaluation-tools/stm32-nucleo-boards.html](https://www.st.com/en/evaluation-tools/stm32-nucleo-boards.html)[STM32 Nucleo Boards^]
+* Harsh questioned how **MCP (Multiple Connected Models)** relates to agentic AI.
+ ** Abhigyan and Chetan clarified that it's essentially multiple models linked to a central one.
+ ** They illustrated this with an example: a request for a weather update goes to the MCP, which then routes it to various models, with the configuration depending on the user.
+* Chetan Jahangir sought advice on getting started with **research papers**.
+ ** He asked for tips on how to begin and how to connect with people who write research papers to get involved and share knowledge.
+ ** Rishit suggested reaching out to seniors and their professors.
+ *** link:[https://icml.cc/Conferences/2022/BestPractices](https://icml.cc/Conferences/2022/BestPractices)[ICML 2022 Best Practices for Research^]
+* Swapnil Borkar discussed **AI and its impact on jobs**.
+ ** He shared concerns about how AI could threaten junior roles if not utilized effectively.
+* Jaden Furtado talked about **UPI, UPI Lite, and UPI Lite X**.
+ ** link:[https://www.npci.org.in/what-we-do/upi-lite/product-overview](https://www.npci.org.in/what-we-do/upi-lite/product-overview)[UPI Lite Product Overview - NPCI^]
+ ** link:[https://www.npci.org.in/what-we-do/upi-lite/upi-lite-x/product-overview](https://www.npci.org.in/what-we-do/upi-lite/upi-lite-x/product-overview)[UPI Lite X Product Overview - NPCI^]
+
+---
+
+* **Additional Resources and Links**
+
+ ** link:[https://people.math.harvard.edu/~ctm/home/text/others/shannon/entropy/entropy.pdf](https://people.math.harvard.edu/~ctm/home/text/others/shannon/entropy/entropy.pdf)[A Mathematical Theory of Communication by C. E. Shannon^]
+ ** link:[https://stanforddatacompressionclass.github.io/Fall22](https://stanforddatacompressionclass.github.io/Fall22)[Stanford Data Compression Course Home^]
+ ** link:[https://youtu.be/BiuknvAYDPs](https://youtu.be/BiuknvAYDPs)[What is Data Compression? (Information Theory Pt. 1)^]
+ ** link:[https://youtu.be/8_GgeASwHwQ](https://youtu.be/8_GgeASwHwQ)[The Browser Backstage by Vivek Galatage^]
+ ** link:[https://youtu.be/QgVR1dxy6zk](https://youtu.be/QgVR1dxy6zk)[What are Codes and Codewords? (Information Theory Pt. 2)^]
+ ** link:[https://youtu.be/fpkCNu_dzcM](https://youtu.be/fpkCNu_dzcM)[What is an Instantaneous Code? (Information Theory Pt. 3)^]
+ ** link:[https://youtu.be/tnPAhVxsPHE](https://youtu.be/tnPAhVxsPHE)[What is a Prefix Code? (Information Theory Pt. 4)^]
+ ** link:[https://youtu.be/D4hNLgJmshg](https://youtu.be/D4hNLgJmshg)[Kraft's Inequality (Information Theory Pt. 5)^]
+ ** link:[https://youtu.be/O9QD9an-0jU](https://youtu.be/O9QD9an-0jU)[Optimal Codes (Information Theory Pt. 6)^]
+ ** link:[https://youtu.be/pOF11EDprxc](https://youtu.be/pOF11EDprxc)[What is Entropy in Information Theory? (Information Theory Pt. 7)^]
+ ** link:[https://youtu.be/rcBVqcoQkuA](https://youtu.be/rcBVqcoQkuA)[What is Huffman Coding? (Information Theory Pt. 8)^]
+ ** link:[https://youtu.be/q7kqrGC_sXE](https://youtu.be/q7kqrGC_sXE)[What is Lempel-Ziv (LZ77) Compression? (Information Theory Pt. 9)^]
+ ** link:[https://youtu.be/_bbuRFT2l-Q](https://youtu.be/_bbuRFT2l-Q)[What is Arithmetic Coding? (Information Theory Pt. 10)^]
+ ** link:[https://youtu.be/2JzOe1Hs26Q](https://youtu.be/2JzOe1Hs26Q)[Shannon's Source Coding Theorem (Information Theory Pt. 11)^]
+ ** link:[https://youtu.be/fzlflyw7X2I](https://youtu.be/fzlflyw7X2I)[What is a communication channel? (Information Theory Pt. 12)^]
+ ** link:[https://youtu.be/55MwAlcpvK4](https://youtu.be/55MwAlcpvK4)[Joint Entropy (Information Theory Pt. 13)^]
+ ** link:[https://ai.pydantic.dev/agents](https://ai.pydantic.dev/agents)[Pydantic AI Agents Documentation^]
+ ** link:[https://youtu.be/PhCrlpUwEhU](https://youtu.be/PhCrlpUwEhU)[This Open-Source AI Agent will change the world (YouTube)^]
+ ** link:[https://medium.com/@thomas_78526/builder-ai-was-a-scam-d1f8fdd16c3f](https://medium.com/@thomas_78526/builder-ai-was-a-scam-d1f8fdd16c3f)[Builder.ai Was a Scam - Medium Article^]
+ ** link:[https://github.com/TecharoHQ/anubis](https://github.com/TecharoHQ/anubis)[Anubis GitHub Project (TecharoHQ)^]
+ ** link:[https://www.beatflow.art](https://www.beatflow.art)[Beatflow Art Platform^]
+ ** link:[https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://people.math.harvard.edu/~ctm/home/text/others/shannon/entropy/entropy.pdf&ved=2ahUKEwis_P6ph7OPAxU4-jgGHUYDAisQFnoECBkQAQ&usg=AOvVaw1VCVoCuO8X0GVoGNNkRcPb](https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://people.math.harvard.edu/~ctm/home/text/others/shannon/entropy/entropy.pdf&ved=2ahUKEwis_P6ph7OPAxU4-jgGHUYDAisQFnoECBkQAQ&usg=AOvVaw1VCVoCuO8X0GVoGNNkRcPb)[Shannon Information Theory PDF^]
+ ** link:[https://stanforddatacompressionclass.github.io/Fall22/](https://stanforddatacompressionclass.github.io/Fall22/)[Stanford Data Compression Course Home^]
+ ** link:[https://youtu.be/BiuknvAYDPs](https://youtu.be/BiuknvAYDPs)[Data Compression Concepts Part 1^]
+ ** link:[https://youtu.be/8_GgeASwHwQ](https://youtu.be/8_GgeASwHwQ)[Data Compression Concepts Part 2^]
+ ** link:[https://youtu.be/QgVR1dxy6zk](https://youtu.be/QgVR1dxy6zk)[Data Compression Concepts Part 3^]
+ ** link:[https://youtu.be/fpkCNu_dzcM](https://youtu.be/fpkCNu_dzcM)[Data Compression Concepts Part 4^]
+ ** link:[https://youtu.be/tnPAhVxsPHE](https://youtu.be/tnPAhVxsPHE)[Data Compression Concepts Part 5^]
+ ** link:[https://youtu.be/D4hNLgJmshg](https://youtu.be/D4hNLgJmshg)[Data Compression Concepts Part 6^]
+ ** link:[https://youtu.be/O9QD9an-0jU](https://youtu.be/O9QD9an-0jU)[Data Compression Concepts Part 7^]
+ ** link:[https://youtu.be/pOF11EDprxc](https://youtu.be/pOF11EDprxc)[Data Compression Concepts Part 8^]
+ ** link:[https://youtu.be/rcBVqcoQkuA](https://youtu.be/rcBVqcoQkuA)[Data Compression Concepts Part 9^]
+ ** link:[https://youtu.be/q7kqrGC_sXE](https://youtu.be/q7kqrGC_sXE)[Data Compression Concepts Part 10^]
+ ** link:[https://youtu.be/_bbuRFT2l-Q](https://youtu.be/_bbuRFT2l-Q)[Data Compression Concepts Part 11^]
+ ** link:[https://youtu.be/2JzOe1Hs26Q](https://youtu.be/2JzOe1Hs26Q)[Data Compression Concepts Part 12^]
+ ** link:[https://youtu.be/fzlflyw7X2I](https://youtu.be/fzlflyw7X2I)[Data Compression Concepts Part 13^]
+ ** link:[https://youtu.be/55MwAlcpvK4](https://youtu.be/55MwAlcpvK4)[Data Compression Concepts Part 14^]
+ ** link:[https://ai.pydantic.dev/agents](https://ai.pydantic.dev/agents)[Pydantic AI Agents^]
+ ** link:[https://youtu.be/PhCrlpUwEhU?si=i6CuMYassZm8Phh](https://youtu.be/PhCrlpUwEhU?si=i6CuMYassZm8Phh)_[Open-source Agentic RAG Video^]
+ ** link:[https://medium.com/@thomas_78526/builder-ai-was-a-scam-d1f8fdd16c3f](https://medium.com/@thomas_78526/builder-ai-was-a-scam-d1f8fdd16c3f)[Builder AI Scam Article^]
+ ** link:[https://github.com/TecharoHQ/anubis](https://github.com/TecharoHQ/anubis)[Anubis GitHub Project^]
+ ** link:[https://www.beatflow.art](https://www.beatflow.art)[Beatflow Art Platform^]
+

summary/sessions/251/attendees.adoc

@@ -0,0 +1,3 @@
+==== Attendees
+
+. // Attendees to be added soon

summary/sessions/251/content.adoc

@@ -0,0 +1,86 @@
+Date: 29-08-2025
+
+Duration: Yet to be confirmed
+
+==== Topics Discussed
+
+* Ayush kicked off a discussion on **probability and algorithms**, specifically diving into **entropy encoders** like Huffman, Arithmetic, rANS, and tANS.
+ ** He broke down concepts like `Log2(number of symbols)` and `2^n` in coding.
+ ** He also explained **arithmetic coding**, highlighting its efficiency from `O(2^n)` to `O(n)`, and touched on cumulative frequency and probability functions.
+ *** link:[https://stanforddatacompressionclass.github.io/Fall22/lectures](https://stanforddatacompressionclass.github.io/Fall22/lectures)[Stanford Data Compression Class Lectures^]
+* Lucky Mee, who's returning to tech after some time, asked for advice.
+ ** Harsh strongly suggested focusing on **system designs**.
+ ** He also emphasized the importance of planning thoroughly before execution.
+* Abhigyan showcased his project on **stock analysis using AI agents**.
+ ** He shared a research report he generated from the agents.
+ ** He demonstrated how these reports provided structured outputs, detailing weaknesses, strengths, conclusions, graphs, and metrics.
+ *** link:[https://www.deeplearning.ai/the-batch](https://www.deeplearning.ai/the-batch)[DeepLearning.AI The Batch Newsletter^]
+ *** link:[https://platform.openai.com/docs/guides/structured-outputs](https://platform.openai.com/docs/guides/structured-outputs)[OpenAI Guides: Structured Outputs^]
+* Chetan Jahangir shared some insights about **Builder AI**.
+ ** He mentioned how the company allegedly scammed Microsoft.
+ ** This sparked a conversation about how we should approach data derived from AI and LLMs.
+* Ayush provided an update on his **SIH project**.
+ ** He's concentrating on smart system design for hardware.
+ ** He's currently learning about the **STM32 microprocessor**.
+ *** link:[https://en.wikipedia.org/wiki/STM32](https://en.wikipedia.org/wiki/STM32)[STM32 Wikipedia^]
+ *** link:[https://www.st.com/en/evaluation-tools/stm32-nucleo-boards.html](https://www.st.com/en/evaluation-tools/stm32-nucleo-boards.html)[STM32 Nucleo Boards^]
+* Harsh questioned how **MCP (Multiple Connected Models)** relates to agentic AI.
+ ** Abhigyan and Chetan clarified that it's essentially multiple models linked to a central one.
+ ** They illustrated this with an example: a request for a weather update goes to the MCP, which then routes it to various models, with the configuration depending on the user.
+* Chetan Jahangir sought advice on getting started with **research papers**.
+ ** He asked for tips on how to begin and how to connect with people who write research papers to get involved and share knowledge.
+ ** Rishit suggested reaching out to seniors and their professors.
+ *** link:[https://icml.cc/Conferences/2022/BestPractices](https://icml.cc/Conferences/2022/BestPractices)[ICML 2022 Best Practices for Research^]
+* Swapnil Borkar discussed **AI and its impact on jobs**.
+ ** He shared concerns about how AI could threaten junior roles if not utilized effectively.
+* Jaden Furtado talked about **UPI, UPI Lite, and UPI Lite X**.
+ ** link:[https://www.npci.org.in/what-we-do/upi-lite/product-overview](https://www.npci.org.in/what-we-do/upi-lite/product-overview)[UPI Lite Product Overview - NPCI^]
+ ** link:[https://www.npci.org.in/what-we-do/upi-lite/upi-lite-x/product-overview](https://www.npci.org.in/what-we-do/upi-lite/upi-lite-x/product-overview)[UPI Lite X Product Overview - NPCI^]
+
+---
+
+* **Additional Resources and Links**
+
+ ** link:[https://people.math.harvard.edu/~ctm/home/text/others/shannon/entropy/entropy.pdf](https://people.math.harvard.edu/~ctm/home/text/others/shannon/entropy/entropy.pdf)[A Mathematical Theory of Communication by C. E. Shannon^]
+ ** link:[https://stanforddatacompressionclass.github.io/Fall22](https://stanforddatacompressionclass.github.io/Fall22)[Stanford Data Compression Course Home^]
+ ** link:[https://youtu.be/BiuknvAYDPs](https://youtu.be/BiuknvAYDPs)[What is Data Compression? (Information Theory Pt. 1)^]
+ ** link:[https://youtu.be/8_GgeASwHwQ](https://youtu.be/8_GgeASwHwQ)[The Browser Backstage by Vivek Galatage^]
+ ** link:[https://youtu.be/QgVR1dxy6zk](https://youtu.be/QgVR1dxy6zk)[What are Codes and Codewords? (Information Theory Pt. 2)^]
+ ** link:[https://youtu.be/fpkCNu_dzcM](https://youtu.be/fpkCNu_dzcM)[What is an Instantaneous Code? (Information Theory Pt. 3)^]
+ ** link:[https://youtu.be/tnPAhVxsPHE](https://youtu.be/tnPAhVxsPHE)[What is a Prefix Code? (Information Theory Pt. 4)^]
+ ** link:[https://youtu.be/D4hNLgJmshg](https://youtu.be/D4hNLgJmshg)[Kraft's Inequality (Information Theory Pt. 5)^]
+ ** link:[https://youtu.be/O9QD9an-0jU](https://youtu.be/O9QD9an-0jU)[Optimal Codes (Information Theory Pt. 6)^]
+ ** link:[https://youtu.be/pOF11EDprxc](https://youtu.be/pOF11EDprxc)[What is Entropy in Information Theory? (Information Theory Pt. 7)^]
+ ** link:[https://youtu.be/rcBVqcoQkuA](https://youtu.be/rcBVqcoQkuA)[What is Huffman Coding? (Information Theory Pt. 8)^]
+ ** link:[https://youtu.be/q7kqrGC_sXE](https://youtu.be/q7kqrGC_sXE)[What is Lempel-Ziv (LZ77) Compression? (Information Theory Pt. 9)^]
+ ** link:[https://youtu.be/_bbuRFT2l-Q](https://youtu.be/_bbuRFT2l-Q)[What is Arithmetic Coding? (Information Theory Pt. 10)^]
+ ** link:[https://youtu.be/2JzOe1Hs26Q](https://youtu.be/2JzOe1Hs26Q)[Shannon's Source Coding Theorem (Information Theory Pt. 11)^]
+ ** link:[https://youtu.be/fzlflyw7X2I](https://youtu.be/fzlflyw7X2I)[What is a communication channel? (Information Theory Pt. 12)^]
+ ** link:[https://youtu.be/55MwAlcpvK4](https://youtu.be/55MwAlcpvK4)[Joint Entropy (Information Theory Pt. 13)^]
+ ** link:[https://ai.pydantic.dev/agents](https://ai.pydantic.dev/agents)[Pydantic AI Agents Documentation^]
+ ** link:[https://youtu.be/PhCrlpUwEhU](https://youtu.be/PhCrlpUwEhU)[This Open-Source AI Agent will change the world (YouTube)^]
+ ** link:[https://medium.com/@thomas_78526/builder-ai-was-a-scam-d1f8fdd16c3f](https://medium.com/@thomas_78526/builder-ai-was-a-scam-d1f8fdd16c3f)[Builder.ai Was a Scam - Medium Article^]
+ ** link:[https://github.com/TecharoHQ/anubis](https://github.com/TecharoHQ/anubis)[Anubis GitHub Project (TecharoHQ)^]
+ ** link:[https://www.beatflow.art](https://www.beatflow.art)[Beatflow Art Platform^]
+ ** link:[https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://people.math.harvard.edu/~ctm/home/text/others/shannon/entropy/entropy.pdf&ved=2ahUKEwis_P6ph7OPAxU4-jgGHUYDAisQFnoECBkQAQ&usg=AOvVaw1VCVoCuO8X0GVoGNNkRcPb](https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://people.math.harvard.edu/~ctm/home/text/others/shannon/entropy/entropy.pdf&ved=2ahUKEwis_P6ph7OPAxU4-jgGHUYDAisQFnoECBkQAQ&usg=AOvVaw1VCVoCuO8X0GVoGNNkRcPb)[Shannon Information Theory PDF^]
+ ** link:[https://stanforddatacompressionclass.github.io/Fall22/](https://stanforddatacompressionclass.github.io/Fall22/)[Stanford Data Compression Course Home^]
+ ** link:[https://youtu.be/BiuknvAYDPs](https://youtu.be/BiuknvAYDPs)[Data Compression Concepts Part 1^]
+ ** link:[https://youtu.be/8_GgeASwHwQ](https://youtu.be/8_GgeASwHwQ)[Data Compression Concepts Part 2^]
+ ** link:[https://youtu.be/QgVR1dxy6zk](https://youtu.be/QgVR1dxy6zk)[Data Compression Concepts Part 3^]
+ ** link:[https://youtu.be/fpkCNu_dzcM](https://youtu.be/fpkCNu_dzcM)[Data Compression Concepts Part 4^]
+ ** link:[https://youtu.be/tnPAhVxsPHE](https://youtu.be/tnPAhVxsPHE)[Data Compression Concepts Part 5^]
+ ** link:[https://youtu.be/D4hNLgJmshg](https://youtu.be/D4hNLgJmshg)[Data Compression Concepts Part 6^]
+ ** link:[https://youtu.be/O9QD9an-0jU](https://youtu.be/O9QD9an-0jU)[Data Compression Concepts Part 7^]
+ ** link:[https://youtu.be/pOF11EDprxc](https://youtu.be/pOF11EDprxc)[Data Compression Concepts Part 8^]
+ ** link:[https://youtu.be/rcBVqcoQkuA](https://youtu.be/rcBVqcoQkuA)[Data Compression Concepts Part 9^]
+ ** link:[https://youtu.be/q7kqrGC_sXE](https://youtu.be/q7kqrGC_sXE)[Data Compression Concepts Part 10^]
+ ** link:[https://youtu.be/_bbuRFT2l-Q](https://youtu.be/_bbuRFT2l-Q)[Data Compression Concepts Part 11^]
+ ** link:[https://youtu.be/2JzOe1Hs26Q](https://youtu.be/2JzOe1Hs26Q)[Data Compression Concepts Part 12^]
+ ** link:[https://youtu.be/fzlflyw7X2I](https://youtu.be/fzlflyw7X2I)[Data Compression Concepts Part 13^]
+ ** link:[https://youtu.be/55MwAlcpvK4](https://youtu.be/55MwAlcpvK4)[Data Compression Concepts Part 14^]
+ ** link:[https://ai.pydantic.dev/agents](https://ai.pydantic.dev/agents)[Pydantic AI Agents^]
+ ** link:[https://youtu.be/PhCrlpUwEhU?si=i6CuMYassZm8Phh](https://youtu.be/PhCrlpUwEhU?si=i6CuMYassZm8Phh)_[Open-source Agentic RAG Video^]
+ ** link:[https://medium.com/@thomas_78526/builder-ai-was-a-scam-d1f8fdd16c3f](https://medium.com/@thomas_78526/builder-ai-was-a-scam-d1f8fdd16c3f)[Builder AI Scam Article^]
+ ** link:[https://github.com/TecharoHQ/anubis](https://github.com/TecharoHQ/anubis)[Anubis GitHub Project^]
+ ** link:[https://www.beatflow.art](https://www.beatflow.art)[Beatflow Art Platform^]
+

summary/sessions/251/attendees.adoc

@@ -0,0 +1,3 @@
+==== Attendees
+
+. // Attendees to be added soon

summary/sessions/251/content.adoc

@@ -0,0 +1,86 @@
+Date: 29-08-2025
+
+Duration: Yet to be confirmed
+
+==== Topics Discussed
+
+* Ayush kicked off a discussion on **probability and algorithms**, specifically diving into **entropy encoders** like Huffman, Arithmetic, rANS, and tANS.
+ ** He broke down concepts like `Log2(number of symbols)` and `2^n` in coding.
+ ** He also explained **arithmetic coding**, highlighting its efficiency from `O(2^n)` to `O(n)`, and touched on cumulative frequency and probability functions.
+ *** link:[https://stanforddatacompressionclass.github.io/Fall22/lectures](https://stanforddatacompressionclass.github.io/Fall22/lectures)[Stanford Data Compression Class Lectures^]
+* Lucky Mee, who's returning to tech after some time, asked for advice.
+ ** Harsh strongly suggested focusing on **system designs**.
+ ** He also emphasized the importance of planning thoroughly before execution.
+* Abhigyan showcased his project on **stock analysis using AI agents**.
+ ** He shared a research report he generated from the agents.
+ ** He demonstrated how these reports provided structured outputs, detailing weaknesses, strengths, conclusions, graphs, and metrics.
+ *** link:[https://www.deeplearning.ai/the-batch](https://www.deeplearning.ai/the-batch)[DeepLearning.AI The Batch Newsletter^]
+ *** link:[https://platform.openai.com/docs/guides/structured-outputs](https://platform.openai.com/docs/guides/structured-outputs)[OpenAI Guides: Structured Outputs^]
+* Chetan Jahangir shared some insights about **Builder AI**.
+ ** He mentioned how the company allegedly scammed Microsoft.
+ ** This sparked a conversation about how we should approach data derived from AI and LLMs.
+* Ayush provided an update on his **SIH project**.
+ ** He's concentrating on smart system design for hardware.
+ ** He's currently learning about the **STM32 microprocessor**.
+ *** link:[https://en.wikipedia.org/wiki/STM32](https://en.wikipedia.org/wiki/STM32)[STM32 Wikipedia^]
+ *** link:[https://www.st.com/en/evaluation-tools/stm32-nucleo-boards.html](https://www.st.com/en/evaluation-tools/stm32-nucleo-boards.html)[STM32 Nucleo Boards^]
+* Harsh questioned how **MCP (Multiple Connected Models)** relates to agentic AI.
+ ** Abhigyan and Chetan clarified that it's essentially multiple models linked to a central one.
+ ** They illustrated this with an example: a request for a weather update goes to the MCP, which then routes it to various models, with the configuration depending on the user.
+* Chetan Jahangir sought advice on getting started with **research papers**.
+ ** He asked for tips on how to begin and how to connect with people who write research papers to get involved and share knowledge.
+ ** Rishit suggested reaching out to seniors and their professors.
+ *** link:[https://icml.cc/Conferences/2022/BestPractices](https://icml.cc/Conferences/2022/BestPractices)[ICML 2022 Best Practices for Research^]
+* Swapnil Borkar discussed **AI and its impact on jobs**.
+ ** He shared concerns about how AI could threaten junior roles if not utilized effectively.
+* Jaden Furtado talked about **UPI, UPI Lite, and UPI Lite X**.
+ ** link:[https://www.npci.org.in/what-we-do/upi-lite/product-overview](https://www.npci.org.in/what-we-do/upi-lite/product-overview)[UPI Lite Product Overview - NPCI^]
+ ** link:[https://www.npci.org.in/what-we-do/upi-lite/upi-lite-x/product-overview](https://www.npci.org.in/what-we-do/upi-lite/upi-lite-x/product-overview)[UPI Lite X Product Overview - NPCI^]
+
+---
+
+* **Additional Resources and Links**
+
+ ** link:[https://people.math.harvard.edu/~ctm/home/text/others/shannon/entropy/entropy.pdf](https://people.math.harvard.edu/~ctm/home/text/others/shannon/entropy/entropy.pdf)[A Mathematical Theory of Communication by C. E. Shannon^]
+ ** link:[https://stanforddatacompressionclass.github.io/Fall22](https://stanforddatacompressionclass.github.io/Fall22)[Stanford Data Compression Course Home^]
+ ** link:[https://youtu.be/BiuknvAYDPs](https://youtu.be/BiuknvAYDPs)[What is Data Compression? (Information Theory Pt. 1)^]
+ ** link:[https://youtu.be/8_GgeASwHwQ](https://youtu.be/8_GgeASwHwQ)[The Browser Backstage by Vivek Galatage^]
+ ** link:[https://youtu.be/QgVR1dxy6zk](https://youtu.be/QgVR1dxy6zk)[What are Codes and Codewords? (Information Theory Pt. 2)^]
+ ** link:[https://youtu.be/fpkCNu_dzcM](https://youtu.be/fpkCNu_dzcM)[What is an Instantaneous Code? (Information Theory Pt. 3)^]
+ ** link:[https://youtu.be/tnPAhVxsPHE](https://youtu.be/tnPAhVxsPHE)[What is a Prefix Code? (Information Theory Pt. 4)^]
+ ** link:[https://youtu.be/D4hNLgJmshg](https://youtu.be/D4hNLgJmshg)[Kraft's Inequality (Information Theory Pt. 5)^]
+ ** link:[https://youtu.be/O9QD9an-0jU](https://youtu.be/O9QD9an-0jU)[Optimal Codes (Information Theory Pt. 6)^]
+ ** link:[https://youtu.be/pOF11EDprxc](https://youtu.be/pOF11EDprxc)[What is Entropy in Information Theory? (Information Theory Pt. 7)^]
+ ** link:[https://youtu.be/rcBVqcoQkuA](https://youtu.be/rcBVqcoQkuA)[What is Huffman Coding? (Information Theory Pt. 8)^]
+ ** link:[https://youtu.be/q7kqrGC_sXE](https://youtu.be/q7kqrGC_sXE)[What is Lempel-Ziv (LZ77) Compression? (Information Theory Pt. 9)^]
+ ** link:[https://youtu.be/_bbuRFT2l-Q](https://youtu.be/_bbuRFT2l-Q)[What is Arithmetic Coding? (Information Theory Pt. 10)^]
+ ** link:[https://youtu.be/2JzOe1Hs26Q](https://youtu.be/2JzOe1Hs26Q)[Shannon's Source Coding Theorem (Information Theory Pt. 11)^]
+ ** link:[https://youtu.be/fzlflyw7X2I](https://youtu.be/fzlflyw7X2I)[What is a communication channel? (Information Theory Pt. 12)^]
+ ** link:[https://youtu.be/55MwAlcpvK4](https://youtu.be/55MwAlcpvK4)[Joint Entropy (Information Theory Pt. 13)^]
+ ** link:[https://ai.pydantic.dev/agents](https://ai.pydantic.dev/agents)[Pydantic AI Agents Documentation^]
+ ** link:[https://youtu.be/PhCrlpUwEhU](https://youtu.be/PhCrlpUwEhU)[This Open-Source AI Agent will change the world (YouTube)^]
+ ** link:[https://medium.com/@thomas_78526/builder-ai-was-a-scam-d1f8fdd16c3f](https://medium.com/@thomas_78526/builder-ai-was-a-scam-d1f8fdd16c3f)[Builder.ai Was a Scam - Medium Article^]
+ ** link:[https://github.com/TecharoHQ/anubis](https://github.com/TecharoHQ/anubis)[Anubis GitHub Project (TecharoHQ)^]
+ ** link:[https://www.beatflow.art](https://www.beatflow.art)[Beatflow Art Platform^]
+ ** link:[https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://people.math.harvard.edu/~ctm/home/text/others/shannon/entropy/entropy.pdf&ved=2ahUKEwis_P6ph7OPAxU4-jgGHUYDAisQFnoECBkQAQ&usg=AOvVaw1VCVoCuO8X0GVoGNNkRcPb](https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://people.math.harvard.edu/~ctm/home/text/others/shannon/entropy/entropy.pdf&ved=2ahUKEwis_P6ph7OPAxU4-jgGHUYDAisQFnoECBkQAQ&usg=AOvVaw1VCVoCuO8X0GVoGNNkRcPb)[Shannon Information Theory PDF^]
+ ** link:[https://stanforddatacompressionclass.github.io/Fall22/](https://stanforddatacompressionclass.github.io/Fall22/)[Stanford Data Compression Course Home^]
+ ** link:[https://youtu.be/BiuknvAYDPs](https://youtu.be/BiuknvAYDPs)[Data Compression Concepts Part 1^]
+ ** link:[https://youtu.be/8_GgeASwHwQ](https://youtu.be/8_GgeASwHwQ)[Data Compression Concepts Part 2^]
+ ** link:[https://youtu.be/QgVR1dxy6zk](https://youtu.be/QgVR1dxy6zk)[Data Compression Concepts Part 3^]
+ ** link:[https://youtu.be/fpkCNu_dzcM](https://youtu.be/fpkCNu_dzcM)[Data Compression Concepts Part 4^]
+ ** link:[https://youtu.be/tnPAhVxsPHE](https://youtu.be/tnPAhVxsPHE)[Data Compression Concepts Part 5^]
+ ** link:[https://youtu.be/D4hNLgJmshg](https://youtu.be/D4hNLgJmshg)[Data Compression Concepts Part 6^]
+ ** link:[https://youtu.be/O9QD9an-0jU](https://youtu.be/O9QD9an-0jU)[Data Compression Concepts Part 7^]
+ ** link:[https://youtu.be/pOF11EDprxc](https://youtu.be/pOF11EDprxc)[Data Compression Concepts Part 8^]
+ ** link:[https://youtu.be/rcBVqcoQkuA](https://youtu.be/rcBVqcoQkuA)[Data Compression Concepts Part 9^]
+ ** link:[https://youtu.be/q7kqrGC_sXE](https://youtu.be/q7kqrGC_sXE)[Data Compression Concepts Part 10^]
+ ** link:[https://youtu.be/_bbuRFT2l-Q](https://youtu.be/_bbuRFT2l-Q)[Data Compression Concepts Part 11^]
+ ** link:[https://youtu.be/2JzOe1Hs26Q](https://youtu.be/2JzOe1Hs26Q)[Data Compression Concepts Part 12^]
+ ** link:[https://youtu.be/fzlflyw7X2I](https://youtu.be/fzlflyw7X2I)[Data Compression Concepts Part 13^]
+ ** link:[https://youtu.be/55MwAlcpvK4](https://youtu.be/55MwAlcpvK4)[Data Compression Concepts Part 14^]
+ ** link:[https://ai.pydantic.dev/agents](https://ai.pydantic.dev/agents)[Pydantic AI Agents^]
+ ** link:[https://youtu.be/PhCrlpUwEhU?si=i6CuMYassZm8Phh](https://youtu.be/PhCrlpUwEhU?si=i6CuMYassZm8Phh)_[Open-source Agentic RAG Video^]
+ ** link:[https://medium.com/@thomas_78526/builder-ai-was-a-scam-d1f8fdd16c3f](https://medium.com/@thomas_78526/builder-ai-was-a-scam-d1f8fdd16c3f)[Builder AI Scam Article^]
+ ** link:[https://github.com/TecharoHQ/anubis](https://github.com/TecharoHQ/anubis)[Anubis GitHub Project^]
+ ** link:[https://www.beatflow.art](https://www.beatflow.art)[Beatflow Art Platform^]
+

summary/sessions/251/attendees.adoc

@@ -0,0 +1,3 @@
+==== Attendees
+
+. // Attendees to be added soon

summary/sessions/251/content.adoc

@@ -0,0 +1,86 @@
+Date: 29-08-2025
+
+Duration: Yet to be confirmed
+
+==== Topics Discussed
+
+* Ayush kicked off a discussion on **probability and algorithms**, specifically diving into **entropy encoders** like Huffman, Arithmetic, rANS, and tANS.
+ ** He broke down concepts like `Log2(number of symbols)` and `2^n` in coding.
+ ** He also explained **arithmetic coding**, highlighting its efficiency from `O(2^n)` to `O(n)`, and touched on cumulative frequency and probability functions.
+ *** link:[https://stanforddatacompressionclass.github.io/Fall22/lectures](https://stanforddatacompressionclass.github.io/Fall22/lectures)[Stanford Data Compression Class Lectures^]
+* Lucky Mee, who's returning to tech after some time, asked for advice.
+ ** Harsh strongly suggested focusing on **system designs**.
+ ** He also emphasized the importance of planning thoroughly before execution.
+* Abhigyan showcased his project on **stock analysis using AI agents**.
+ ** He shared a research report he generated from the agents.
+ ** He demonstrated how these reports provided structured outputs, detailing weaknesses, strengths, conclusions, graphs, and metrics.
+ *** link:[https://www.deeplearning.ai/the-batch](https://www.deeplearning.ai/the-batch)[DeepLearning.AI The Batch Newsletter^]
+ *** link:[https://platform.openai.com/docs/guides/structured-outputs](https://platform.openai.com/docs/guides/structured-outputs)[OpenAI Guides: Structured Outputs^]
+* Chetan Jahangir shared some insights about **Builder AI**.
+ ** He mentioned how the company allegedly scammed Microsoft.
+ ** This sparked a conversation about how we should approach data derived from AI and LLMs.
+* Ayush provided an update on his **SIH project**.
+ ** He's concentrating on smart system design for hardware.
+ ** He's currently learning about the **STM32 microprocessor**.
+ *** link:[https://en.wikipedia.org/wiki/STM32](https://en.wikipedia.org/wiki/STM32)[STM32 Wikipedia^]
+ *** link:[https://www.st.com/en/evaluation-tools/stm32-nucleo-boards.html](https://www.st.com/en/evaluation-tools/stm32-nucleo-boards.html)[STM32 Nucleo Boards^]
+* Harsh questioned how **MCP (Multiple Connected Models)** relates to agentic AI.
+ ** Abhigyan and Chetan clarified that it's essentially multiple models linked to a central one.
+ ** They illustrated this with an example: a request for a weather update goes to the MCP, which then routes it to various models, with the configuration depending on the user.
+* Chetan Jahangir sought advice on getting started with **research papers**.
+ ** He asked for tips on how to begin and how to connect with people who write research papers to get involved and share knowledge.
+ ** Rishit suggested reaching out to seniors and their professors.
+ *** link:[https://icml.cc/Conferences/2022/BestPractices](https://icml.cc/Conferences/2022/BestPractices)[ICML 2022 Best Practices for Research^]
+* Swapnil Borkar discussed **AI and its impact on jobs**.
+ ** He shared concerns about how AI could threaten junior roles if not utilized effectively.
+* Jaden Furtado talked about **UPI, UPI Lite, and UPI Lite X**.
+ ** link:[https://www.npci.org.in/what-we-do/upi-lite/product-overview](https://www.npci.org.in/what-we-do/upi-lite/product-overview)[UPI Lite Product Overview - NPCI^]
+ ** link:[https://www.npci.org.in/what-we-do/upi-lite/upi-lite-x/product-overview](https://www.npci.org.in/what-we-do/upi-lite/upi-lite-x/product-overview)[UPI Lite X Product Overview - NPCI^]
+
+---
+
+* **Additional Resources and Links**
+
+ ** link:[https://people.math.harvard.edu/~ctm/home/text/others/shannon/entropy/entropy.pdf](https://people.math.harvard.edu/~ctm/home/text/others/shannon/entropy/entropy.pdf)[A Mathematical Theory of Communication by C. E. Shannon^]
+ ** link:[https://stanforddatacompressionclass.github.io/Fall22](https://stanforddatacompressionclass.github.io/Fall22)[Stanford Data Compression Course Home^]
+ ** link:[https://youtu.be/BiuknvAYDPs](https://youtu.be/BiuknvAYDPs)[What is Data Compression? (Information Theory Pt. 1)^]
+ ** link:[https://youtu.be/8_GgeASwHwQ](https://youtu.be/8_GgeASwHwQ)[The Browser Backstage by Vivek Galatage^]
+ ** link:[https://youtu.be/QgVR1dxy6zk](https://youtu.be/QgVR1dxy6zk)[What are Codes and Codewords? (Information Theory Pt. 2)^]
+ ** link:[https://youtu.be/fpkCNu_dzcM](https://youtu.be/fpkCNu_dzcM)[What is an Instantaneous Code? (Information Theory Pt. 3)^]
+ ** link:[https://youtu.be/tnPAhVxsPHE](https://youtu.be/tnPAhVxsPHE)[What is a Prefix Code? (Information Theory Pt. 4)^]
+ ** link:[https://youtu.be/D4hNLgJmshg](https://youtu.be/D4hNLgJmshg)[Kraft's Inequality (Information Theory Pt. 5)^]
+ ** link:[https://youtu.be/O9QD9an-0jU](https://youtu.be/O9QD9an-0jU)[Optimal Codes (Information Theory Pt. 6)^]
+ ** link:[https://youtu.be/pOF11EDprxc](https://youtu.be/pOF11EDprxc)[What is Entropy in Information Theory? (Information Theory Pt. 7)^]
+ ** link:[https://youtu.be/rcBVqcoQkuA](https://youtu.be/rcBVqcoQkuA)[What is Huffman Coding? (Information Theory Pt. 8)^]
+ ** link:[https://youtu.be/q7kqrGC_sXE](https://youtu.be/q7kqrGC_sXE)[What is Lempel-Ziv (LZ77) Compression? (Information Theory Pt. 9)^]
+ ** link:[https://youtu.be/_bbuRFT2l-Q](https://youtu.be/_bbuRFT2l-Q)[What is Arithmetic Coding? (Information Theory Pt. 10)^]
+ ** link:[https://youtu.be/2JzOe1Hs26Q](https://youtu.be/2JzOe1Hs26Q)[Shannon's Source Coding Theorem (Information Theory Pt. 11)^]
+ ** link:[https://youtu.be/fzlflyw7X2I](https://youtu.be/fzlflyw7X2I)[What is a communication channel? (Information Theory Pt. 12)^]
+ ** link:[https://youtu.be/55MwAlcpvK4](https://youtu.be/55MwAlcpvK4)[Joint Entropy (Information Theory Pt. 13)^]
+ ** link:[https://ai.pydantic.dev/agents](https://ai.pydantic.dev/agents)[Pydantic AI Agents Documentation^]
+ ** link:[https://youtu.be/PhCrlpUwEhU](https://youtu.be/PhCrlpUwEhU)[This Open-Source AI Agent will change the world (YouTube)^]
+ ** link:[https://medium.com/@thomas_78526/builder-ai-was-a-scam-d1f8fdd16c3f](https://medium.com/@thomas_78526/builder-ai-was-a-scam-d1f8fdd16c3f)[Builder.ai Was a Scam - Medium Article^]
+ ** link:[https://github.com/TecharoHQ/anubis](https://github.com/TecharoHQ/anubis)[Anubis GitHub Project (TecharoHQ)^]
+ ** link:[https://www.beatflow.art](https://www.beatflow.art)[Beatflow Art Platform^]
+ ** link:[https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://people.math.harvard.edu/~ctm/home/text/others/shannon/entropy/entropy.pdf&ved=2ahUKEwis_P6ph7OPAxU4-jgGHUYDAisQFnoECBkQAQ&usg=AOvVaw1VCVoCuO8X0GVoGNNkRcPb](https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://people.math.harvard.edu/~ctm/home/text/others/shannon/entropy/entropy.pdf&ved=2ahUKEwis_P6ph7OPAxU4-jgGHUYDAisQFnoECBkQAQ&usg=AOvVaw1VCVoCuO8X0GVoGNNkRcPb)[Shannon Information Theory PDF^]
+ ** link:[https://stanforddatacompressionclass.github.io/Fall22/](https://stanforddatacompressionclass.github.io/Fall22/)[Stanford Data Compression Course Home^]
+ ** link:[https://youtu.be/BiuknvAYDPs](https://youtu.be/BiuknvAYDPs)[Data Compression Concepts Part 1^]
+ ** link:[https://youtu.be/8_GgeASwHwQ](https://youtu.be/8_GgeASwHwQ)[Data Compression Concepts Part 2^]
+ ** link:[https://youtu.be/QgVR1dxy6zk](https://youtu.be/QgVR1dxy6zk)[Data Compression Concepts Part 3^]
+ ** link:[https://youtu.be/fpkCNu_dzcM](https://youtu.be/fpkCNu_dzcM)[Data Compression Concepts Part 4^]
+ ** link:[https://youtu.be/tnPAhVxsPHE](https://youtu.be/tnPAhVxsPHE)[Data Compression Concepts Part 5^]
+ ** link:[https://youtu.be/D4hNLgJmshg](https://youtu.be/D4hNLgJmshg)[Data Compression Concepts Part 6^]
+ ** link:[https://youtu.be/O9QD9an-0jU](https://youtu.be/O9QD9an-0jU)[Data Compression Concepts Part 7^]
+ ** link:[https://youtu.be/pOF11EDprxc](https://youtu.be/pOF11EDprxc)[Data Compression Concepts Part 8^]
+ ** link:[https://youtu.be/rcBVqcoQkuA](https://youtu.be/rcBVqcoQkuA)[Data Compression Concepts Part 9^]
+ ** link:[https://youtu.be/q7kqrGC_sXE](https://youtu.be/q7kqrGC_sXE)[Data Compression Concepts Part 10^]
+ ** link:[https://youtu.be/_bbuRFT2l-Q](https://youtu.be/_bbuRFT2l-Q)[Data Compression Concepts Part 11^]
+ ** link:[https://youtu.be/2JzOe1Hs26Q](https://youtu.be/2JzOe1Hs26Q)[Data Compression Concepts Part 12^]
+ ** link:[https://youtu.be/fzlflyw7X2I](https://youtu.be/fzlflyw7X2I)[Data Compression Concepts Part 13^]
+ ** link:[https://youtu.be/55MwAlcpvK4](https://youtu.be/55MwAlcpvK4)[Data Compression Concepts Part 14^]
+ ** link:[https://ai.pydantic.dev/agents](https://ai.pydantic.dev/agents)[Pydantic AI Agents^]
+ ** link:[https://youtu.be/PhCrlpUwEhU?si=i6CuMYassZm8Phh](https://youtu.be/PhCrlpUwEhU?si=i6CuMYassZm8Phh)_[Open-source Agentic RAG Video^]
+ ** link:[https://medium.com/@thomas_78526/builder-ai-was-a-scam-d1f8fdd16c3f](https://medium.com/@thomas_78526/builder-ai-was-a-scam-d1f8fdd16c3f)[Builder AI Scam Article^]
+ ** link:[https://github.com/TecharoHQ/anubis](https://github.com/TecharoHQ/anubis)[Anubis GitHub Project^]
+ ** link:[https://www.beatflow.art](https://www.beatflow.art)[Beatflow Art Platform^]
+

summary/sessions/251/attendees.adoc

@@ -0,0 +1,3 @@
+==== Attendees
+
+. // Attendees to be added soon

summary/sessions/251/content.adoc

@@ -0,0 +1,86 @@
+Date: 29-08-2025
+
+Duration: Yet to be confirmed
+
+==== Topics Discussed
+
+* Ayush kicked off a discussion on **probability and algorithms**, specifically diving into **entropy encoders** like Huffman, Arithmetic, rANS, and tANS.
+ ** He broke down concepts like `Log2(number of symbols)` and `2^n` in coding.
+ ** He also explained **arithmetic coding**, highlighting its efficiency from `O(2^n)` to `O(n)`, and touched on cumulative frequency and probability functions.
+ *** link:[https://stanforddatacompressionclass.github.io/Fall22/lectures](https://stanforddatacompressionclass.github.io/Fall22/lectures)[Stanford Data Compression Class Lectures^]
+* Lucky Mee, who's returning to tech after some time, asked for advice.
+ ** Harsh strongly suggested focusing on **system designs**.
+ ** He also emphasized the importance of planning thoroughly before execution.
+* Abhigyan showcased his project on **stock analysis using AI agents**.
+ ** He shared a research report he generated from the agents.
+ ** He demonstrated how these reports provided structured outputs, detailing weaknesses, strengths, conclusions, graphs, and metrics.
+ *** link:[https://www.deeplearning.ai/the-batch](https://www.deeplearning.ai/the-batch)[DeepLearning.AI The Batch Newsletter^]
+ *** link:[https://platform.openai.com/docs/guides/structured-outputs](https://platform.openai.com/docs/guides/structured-outputs)[OpenAI Guides: Structured Outputs^]
+* Chetan Jahangir shared some insights about **Builder AI**.
+ ** He mentioned how the company allegedly scammed Microsoft.
+ ** This sparked a conversation about how we should approach data derived from AI and LLMs.
+* Ayush provided an update on his **SIH project**.
+ ** He's concentrating on smart system design for hardware.
+ ** He's currently learning about the **STM32 microprocessor**.
+ *** link:[https://en.wikipedia.org/wiki/STM32](https://en.wikipedia.org/wiki/STM32)[STM32 Wikipedia^]
+ *** link:[https://www.st.com/en/evaluation-tools/stm32-nucleo-boards.html](https://www.st.com/en/evaluation-tools/stm32-nucleo-boards.html)[STM32 Nucleo Boards^]
+* Harsh questioned how **MCP (Multiple Connected Models)** relates to agentic AI.
+ ** Abhigyan and Chetan clarified that it's essentially multiple models linked to a central one.
+ ** They illustrated this with an example: a request for a weather update goes to the MCP, which then routes it to various models, with the configuration depending on the user.
+* Chetan Jahangir sought advice on getting started with **research papers**.
+ ** He asked for tips on how to begin and how to connect with people who write research papers to get involved and share knowledge.
+ ** Rishit suggested reaching out to seniors and their professors.
+ *** link:[https://icml.cc/Conferences/2022/BestPractices](https://icml.cc/Conferences/2022/BestPractices)[ICML 2022 Best Practices for Research^]
+* Swapnil Borkar discussed **AI and its impact on jobs**.
+ ** He shared concerns about how AI could threaten junior roles if not utilized effectively.
+* Jaden Furtado talked about **UPI, UPI Lite, and UPI Lite X**.
+ ** link:[https://www.npci.org.in/what-we-do/upi-lite/product-overview](https://www.npci.org.in/what-we-do/upi-lite/product-overview)[UPI Lite Product Overview - NPCI^]
+ ** link:[https://www.npci.org.in/what-we-do/upi-lite/upi-lite-x/product-overview](https://www.npci.org.in/what-we-do/upi-lite/upi-lite-x/product-overview)[UPI Lite X Product Overview - NPCI^]
+
+---
+
+* **Additional Resources and Links**
+
+ ** link:[https://people.math.harvard.edu/~ctm/home/text/others/shannon/entropy/entropy.pdf](https://people.math.harvard.edu/~ctm/home/text/others/shannon/entropy/entropy.pdf)[A Mathematical Theory of Communication by C. E. Shannon^]
+ ** link:[https://stanforddatacompressionclass.github.io/Fall22](https://stanforddatacompressionclass.github.io/Fall22)[Stanford Data Compression Course Home^]
+ ** link:[https://youtu.be/BiuknvAYDPs](https://youtu.be/BiuknvAYDPs)[What is Data Compression? (Information Theory Pt. 1)^]
+ ** link:[https://youtu.be/8_GgeASwHwQ](https://youtu.be/8_GgeASwHwQ)[The Browser Backstage by Vivek Galatage^]
+ ** link:[https://youtu.be/QgVR1dxy6zk](https://youtu.be/QgVR1dxy6zk)[What are Codes and Codewords? (Information Theory Pt. 2)^]
+ ** link:[https://youtu.be/fpkCNu_dzcM](https://youtu.be/fpkCNu_dzcM)[What is an Instantaneous Code? (Information Theory Pt. 3)^]
+ ** link:[https://youtu.be/tnPAhVxsPHE](https://youtu.be/tnPAhVxsPHE)[What is a Prefix Code? (Information Theory Pt. 4)^]
+ ** link:[https://youtu.be/D4hNLgJmshg](https://youtu.be/D4hNLgJmshg)[Kraft's Inequality (Information Theory Pt. 5)^]
+ ** link:[https://youtu.be/O9QD9an-0jU](https://youtu.be/O9QD9an-0jU)[Optimal Codes (Information Theory Pt. 6)^]
+ ** link:[https://youtu.be/pOF11EDprxc](https://youtu.be/pOF11EDprxc)[What is Entropy in Information Theory? (Information Theory Pt. 7)^]
+ ** link:[https://youtu.be/rcBVqcoQkuA](https://youtu.be/rcBVqcoQkuA)[What is Huffman Coding? (Information Theory Pt. 8)^]
+ ** link:[https://youtu.be/q7kqrGC_sXE](https://youtu.be/q7kqrGC_sXE)[What is Lempel-Ziv (LZ77) Compression? (Information Theory Pt. 9)^]
+ ** link:[https://youtu.be/_bbuRFT2l-Q](https://youtu.be/_bbuRFT2l-Q)[What is Arithmetic Coding? (Information Theory Pt. 10)^]
+ ** link:[https://youtu.be/2JzOe1Hs26Q](https://youtu.be/2JzOe1Hs26Q)[Shannon's Source Coding Theorem (Information Theory Pt. 11)^]
+ ** link:[https://youtu.be/fzlflyw7X2I](https://youtu.be/fzlflyw7X2I)[What is a communication channel? (Information Theory Pt. 12)^]
+ ** link:[https://youtu.be/55MwAlcpvK4](https://youtu.be/55MwAlcpvK4)[Joint Entropy (Information Theory Pt. 13)^]
+ ** link:[https://ai.pydantic.dev/agents](https://ai.pydantic.dev/agents)[Pydantic AI Agents Documentation^]
+ ** link:[https://youtu.be/PhCrlpUwEhU](https://youtu.be/PhCrlpUwEhU)[This Open-Source AI Agent will change the world (YouTube)^]
+ ** link:[https://medium.com/@thomas_78526/builder-ai-was-a-scam-d1f8fdd16c3f](https://medium.com/@thomas_78526/builder-ai-was-a-scam-d1f8fdd16c3f)[Builder.ai Was a Scam - Medium Article^]
+ ** link:[https://github.com/TecharoHQ/anubis](https://github.com/TecharoHQ/anubis)[Anubis GitHub Project (TecharoHQ)^]
+ ** link:[https://www.beatflow.art](https://www.beatflow.art)[Beatflow Art Platform^]
+ ** link:[https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://people.math.harvard.edu/~ctm/home/text/others/shannon/entropy/entropy.pdf&ved=2ahUKEwis_P6ph7OPAxU4-jgGHUYDAisQFnoECBkQAQ&usg=AOvVaw1VCVoCuO8X0GVoGNNkRcPb](https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://people.math.harvard.edu/~ctm/home/text/others/shannon/entropy/entropy.pdf&ved=2ahUKEwis_P6ph7OPAxU4-jgGHUYDAisQFnoECBkQAQ&usg=AOvVaw1VCVoCuO8X0GVoGNNkRcPb)[Shannon Information Theory PDF^]
+ ** link:[https://stanforddatacompressionclass.github.io/Fall22/](https://stanforddatacompressionclass.github.io/Fall22/)[Stanford Data Compression Course Home^]
+ ** link:[https://youtu.be/BiuknvAYDPs](https://youtu.be/BiuknvAYDPs)[Data Compression Concepts Part 1^]
+ ** link:[https://youtu.be/8_GgeASwHwQ](https://youtu.be/8_GgeASwHwQ)[Data Compression Concepts Part 2^]
+ ** link:[https://youtu.be/QgVR1dxy6zk](https://youtu.be/QgVR1dxy6zk)[Data Compression Concepts Part 3^]
+ ** link:[https://youtu.be/fpkCNu_dzcM](https://youtu.be/fpkCNu_dzcM)[Data Compression Concepts Part 4^]
+ ** link:[https://youtu.be/tnPAhVxsPHE](https://youtu.be/tnPAhVxsPHE)[Data Compression Concepts Part 5^]
+ ** link:[https://youtu.be/D4hNLgJmshg](https://youtu.be/D4hNLgJmshg)[Data Compression Concepts Part 6^]
+ ** link:[https://youtu.be/O9QD9an-0jU](https://youtu.be/O9QD9an-0jU)[Data Compression Concepts Part 7^]
+ ** link:[https://youtu.be/pOF11EDprxc](https://youtu.be/pOF11EDprxc)[Data Compression Concepts Part 8^]
+ ** link:[https://youtu.be/rcBVqcoQkuA](https://youtu.be/rcBVqcoQkuA)[Data Compression Concepts Part 9^]
+ ** link:[https://youtu.be/q7kqrGC_sXE](https://youtu.be/q7kqrGC_sXE)[Data Compression Concepts Part 10^]
+ ** link:[https://youtu.be/_bbuRFT2l-Q](https://youtu.be/_bbuRFT2l-Q)[Data Compression Concepts Part 11^]
+ ** link:[https://youtu.be/2JzOe1Hs26Q](https://youtu.be/2JzOe1Hs26Q)[Data Compression Concepts Part 12^]
+ ** link:[https://youtu.be/fzlflyw7X2I](https://youtu.be/fzlflyw7X2I)[Data Compression Concepts Part 13^]
+ ** link:[https://youtu.be/55MwAlcpvK4](https://youtu.be/55MwAlcpvK4)[Data Compression Concepts Part 14^]
+ ** link:[https://ai.pydantic.dev/agents](https://ai.pydantic.dev/agents)[Pydantic AI Agents^]
+ ** link:[https://youtu.be/PhCrlpUwEhU?si=i6CuMYassZm8Phh](https://youtu.be/PhCrlpUwEhU?si=i6CuMYassZm8Phh)_[Open-source Agentic RAG Video^]
+ ** link:[https://medium.com/@thomas_78526/builder-ai-was-a-scam-d1f8fdd16c3f](https://medium.com/@thomas_78526/builder-ai-was-a-scam-d1f8fdd16c3f)[Builder AI Scam Article^]
+ ** link:[https://github.com/TecharoHQ/anubis](https://github.com/TecharoHQ/anubis)[Anubis GitHub Project^]
+ ** link:[https://www.beatflow.art](https://www.beatflow.art)[Beatflow Art Platform^]
+

summary/sessions/251/attendees.adoc

@@ -0,0 +1,3 @@
+==== Attendees
+
+. // Attendees to be added soon

summary/sessions/251/content.adoc

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+Date: 29-08-2025
+
+Duration: Yet to be confirmed
+
+==== Topics Discussed
+
+* Ayush kicked off a discussion on **probability and algorithms**, specifically diving into **entropy encoders** like Huffman, Arithmetic, rANS, and tANS.
+ ** He broke down concepts like `Log2(number of symbols)` and `2^n` in coding.
+ ** He also explained **arithmetic coding**, highlighting its efficiency from `O(2^n)` to `O(n)`, and touched on cumulative frequency and probability functions.
+ *** link:[https://stanforddatacompressionclass.github.io/Fall22/lectures](https://stanforddatacompressionclass.github.io/Fall22/lectures)[Stanford Data Compression Class Lectures^]
+* Lucky Mee, who's returning to tech after some time, asked for advice.
+ ** Harsh strongly suggested focusing on **system designs**.
+ ** He also emphasized the importance of planning thoroughly before execution.
+* Abhigyan showcased his project on **stock analysis using AI agents**.
+ ** He shared a research report he generated from the agents.
+ ** He demonstrated how these reports provided structured outputs, detailing weaknesses, strengths, conclusions, graphs, and metrics.
+ *** link:[https://www.deeplearning.ai/the-batch](https://www.deeplearning.ai/the-batch)[DeepLearning.AI The Batch Newsletter^]
+ *** link:[https://platform.openai.com/docs/guides/structured-outputs](https://platform.openai.com/docs/guides/structured-outputs)[OpenAI Guides: Structured Outputs^]
+* Chetan Jahangir shared some insights about **Builder AI**.
+ ** He mentioned how the company allegedly scammed Microsoft.
+ ** This sparked a conversation about how we should approach data derived from AI and LLMs.
+* Ayush provided an update on his **SIH project**.
+ ** He's concentrating on smart system design for hardware.
+ ** He's currently learning about the **STM32 microprocessor**.
+ *** link:[https://en.wikipedia.org/wiki/STM32](https://en.wikipedia.org/wiki/STM32)[STM32 Wikipedia^]
+ *** link:[https://www.st.com/en/evaluation-tools/stm32-nucleo-boards.html](https://www.st.com/en/evaluation-tools/stm32-nucleo-boards.html)[STM32 Nucleo Boards^]
+* Harsh questioned how **MCP (Multiple Connected Models)** relates to agentic AI.
+ ** Abhigyan and Chetan clarified that it's essentially multiple models linked to a central one.
+ ** They illustrated this with an example: a request for a weather update goes to the MCP, which then routes it to various models, with the configuration depending on the user.
+* Chetan Jahangir sought advice on getting started with **research papers**.
+ ** He asked for tips on how to begin and how to connect with people who write research papers to get involved and share knowledge.
+ ** Rishit suggested reaching out to seniors and their professors.
+ *** link:[https://icml.cc/Conferences/2022/BestPractices](https://icml.cc/Conferences/2022/BestPractices)[ICML 2022 Best Practices for Research^]
+* Swapnil Borkar discussed **AI and its impact on jobs**.
+ ** He shared concerns about how AI could threaten junior roles if not utilized effectively.
+* Jaden Furtado talked about **UPI, UPI Lite, and UPI Lite X**.
+ ** link:[https://www.npci.org.in/what-we-do/upi-lite/product-overview](https://www.npci.org.in/what-we-do/upi-lite/product-overview)[UPI Lite Product Overview - NPCI^]
+ ** link:[https://www.npci.org.in/what-we-do/upi-lite/upi-lite-x/product-overview](https://www.npci.org.in/what-we-do/upi-lite/upi-lite-x/product-overview)[UPI Lite X Product Overview - NPCI^]
+
+---
+
+* **Additional Resources and Links**
+
+ ** link:[https://people.math.harvard.edu/~ctm/home/text/others/shannon/entropy/entropy.pdf](https://people.math.harvard.edu/~ctm/home/text/others/shannon/entropy/entropy.pdf)[A Mathematical Theory of Communication by C. E. Shannon^]
+ ** link:[https://stanforddatacompressionclass.github.io/Fall22](https://stanforddatacompressionclass.github.io/Fall22)[Stanford Data Compression Course Home^]
+ ** link:[https://youtu.be/BiuknvAYDPs](https://youtu.be/BiuknvAYDPs)[What is Data Compression? (Information Theory Pt. 1)^]
+ ** link:[https://youtu.be/8_GgeASwHwQ](https://youtu.be/8_GgeASwHwQ)[The Browser Backstage by Vivek Galatage^]
+ ** link:[https://youtu.be/QgVR1dxy6zk](https://youtu.be/QgVR1dxy6zk)[What are Codes and Codewords? (Information Theory Pt. 2)^]
+ ** link:[https://youtu.be/fpkCNu_dzcM](https://youtu.be/fpkCNu_dzcM)[What is an Instantaneous Code? (Information Theory Pt. 3)^]
+ ** link:[https://youtu.be/tnPAhVxsPHE](https://youtu.be/tnPAhVxsPHE)[What is a Prefix Code? (Information Theory Pt. 4)^]
+ ** link:[https://youtu.be/D4hNLgJmshg](https://youtu.be/D4hNLgJmshg)[Kraft's Inequality (Information Theory Pt. 5)^]
+ ** link:[https://youtu.be/O9QD9an-0jU](https://youtu.be/O9QD9an-0jU)[Optimal Codes (Information Theory Pt. 6)^]
+ ** link:[https://youtu.be/pOF11EDprxc](https://youtu.be/pOF11EDprxc)[What is Entropy in Information Theory? (Information Theory Pt. 7)^]
+ ** link:[https://youtu.be/rcBVqcoQkuA](https://youtu.be/rcBVqcoQkuA)[What is Huffman Coding? (Information Theory Pt. 8)^]
+ ** link:[https://youtu.be/q7kqrGC_sXE](https://youtu.be/q7kqrGC_sXE)[What is Lempel-Ziv (LZ77) Compression? (Information Theory Pt. 9)^]
+ ** link:[https://youtu.be/_bbuRFT2l-Q](https://youtu.be/_bbuRFT2l-Q)[What is Arithmetic Coding? (Information Theory Pt. 10)^]
+ ** link:[https://youtu.be/2JzOe1Hs26Q](https://youtu.be/2JzOe1Hs26Q)[Shannon's Source Coding Theorem (Information Theory Pt. 11)^]
+ ** link:[https://youtu.be/fzlflyw7X2I](https://youtu.be/fzlflyw7X2I)[What is a communication channel? (Information Theory Pt. 12)^]
+ ** link:[https://youtu.be/55MwAlcpvK4](https://youtu.be/55MwAlcpvK4)[Joint Entropy (Information Theory Pt. 13)^]
+ ** link:[https://ai.pydantic.dev/agents](https://ai.pydantic.dev/agents)[Pydantic AI Agents Documentation^]
+ ** link:[https://youtu.be/PhCrlpUwEhU](https://youtu.be/PhCrlpUwEhU)[This Open-Source AI Agent will change the world (YouTube)^]
+ ** link:[https://medium.com/@thomas_78526/builder-ai-was-a-scam-d1f8fdd16c3f](https://medium.com/@thomas_78526/builder-ai-was-a-scam-d1f8fdd16c3f)[Builder.ai Was a Scam - Medium Article^]
+ ** link:[https://github.com/TecharoHQ/anubis](https://github.com/TecharoHQ/anubis)[Anubis GitHub Project (TecharoHQ)^]
+ ** link:[https://www.beatflow.art](https://www.beatflow.art)[Beatflow Art Platform^]
+ ** link:[https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://people.math.harvard.edu/~ctm/home/text/others/shannon/entropy/entropy.pdf&ved=2ahUKEwis_P6ph7OPAxU4-jgGHUYDAisQFnoECBkQAQ&usg=AOvVaw1VCVoCuO8X0GVoGNNkRcPb](https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://people.math.harvard.edu/~ctm/home/text/others/shannon/entropy/entropy.pdf&ved=2ahUKEwis_P6ph7OPAxU4-jgGHUYDAisQFnoECBkQAQ&usg=AOvVaw1VCVoCuO8X0GVoGNNkRcPb)[Shannon Information Theory PDF^]
+ ** link:[https://stanforddatacompressionclass.github.io/Fall22/](https://stanforddatacompressionclass.github.io/Fall22/)[Stanford Data Compression Course Home^]
+ ** link:[https://youtu.be/BiuknvAYDPs](https://youtu.be/BiuknvAYDPs)[Data Compression Concepts Part 1^]
+ ** link:[https://youtu.be/8_GgeASwHwQ](https://youtu.be/8_GgeASwHwQ)[Data Compression Concepts Part 2^]
+ ** link:[https://youtu.be/QgVR1dxy6zk](https://youtu.be/QgVR1dxy6zk)[Data Compression Concepts Part 3^]
+ ** link:[https://youtu.be/fpkCNu_dzcM](https://youtu.be/fpkCNu_dzcM)[Data Compression Concepts Part 4^]
+ ** link:[https://youtu.be/tnPAhVxsPHE](https://youtu.be/tnPAhVxsPHE)[Data Compression Concepts Part 5^]
+ ** link:[https://youtu.be/D4hNLgJmshg](https://youtu.be/D4hNLgJmshg)[Data Compression Concepts Part 6^]
+ ** link:[https://youtu.be/O9QD9an-0jU](https://youtu.be/O9QD9an-0jU)[Data Compression Concepts Part 7^]
+ ** link:[https://youtu.be/pOF11EDprxc](https://youtu.be/pOF11EDprxc)[Data Compression Concepts Part 8^]
+ ** link:[https://youtu.be/rcBVqcoQkuA](https://youtu.be/rcBVqcoQkuA)[Data Compression Concepts Part 9^]
+ ** link:[https://youtu.be/q7kqrGC_sXE](https://youtu.be/q7kqrGC_sXE)[Data Compression Concepts Part 10^]
+ ** link:[https://youtu.be/_bbuRFT2l-Q](https://youtu.be/_bbuRFT2l-Q)[Data Compression Concepts Part 11^]
+ ** link:[https://youtu.be/2JzOe1Hs26Q](https://youtu.be/2JzOe1Hs26Q)[Data Compression Concepts Part 12^]
+ ** link:[https://youtu.be/fzlflyw7X2I](https://youtu.be/fzlflyw7X2I)[Data Compression Concepts Part 13^]
+ ** link:[https://youtu.be/55MwAlcpvK4](https://youtu.be/55MwAlcpvK4)[Data Compression Concepts Part 14^]
+ ** link:[https://ai.pydantic.dev/agents](https://ai.pydantic.dev/agents)[Pydantic AI Agents^]
+ ** link:[https://youtu.be/PhCrlpUwEhU?si=i6CuMYassZm8Phh](https://youtu.be/PhCrlpUwEhU?si=i6CuMYassZm8Phh)_[Open-source Agentic RAG Video^]
+ ** link:[https://medium.com/@thomas_78526/builder-ai-was-a-scam-d1f8fdd16c3f](https://medium.com/@thomas_78526/builder-ai-was-a-scam-d1f8fdd16c3f)[Builder AI Scam Article^]
+ ** link:[https://github.com/TecharoHQ/anubis](https://github.com/TecharoHQ/anubis)[Anubis GitHub Project^]
+ ** link:[https://www.beatflow.art](https://www.beatflow.art)[Beatflow Art Platform^]
+