diff --git a/summary/sessions/251/attendees.adoc b/summary/sessions/251/attendees.adoc new file mode 100644 index 00000000..50de63ba --- /dev/null +++ b/summary/sessions/251/attendees.adoc @@ -0,0 +1,20 @@ +==== Attendees + +. link:https://twitter.com/BafnaAbhigyan[Abhigyan Bafna^] +. link:https://x.com/Alpastx[Alpesh Bhagwatkar^] +. link:https://linkedin.com/in/aniket-kadam-65b172a8[Aniket Kadam^] +. link:https://twitter.com/harshgkapadia[Harsh Kapadia^] +. link:https://twitter.com/furtado_jaden[Jaden Furtado^] +. link:https://twitter.com/rishit_dagli[Rishit Dagli^] +. link:https://twitter.com/swpnlbrkr[Swapnil Borkar^] +. link:https://twitter.com/WilfredAlmeida_[Wilfred Almeida^] +. Ayush +. Ayush More +. Chetan Jangir +. Krupal Vasani +. Lucky Mee +. Manan Gandhi +. Mohammad Kaif +. Nebuluak +. Nirmal Panchal +. Sahil Bansal diff --git a/summary/sessions/251/content.adoc b/summary/sessions/251/content.adoc new file mode 100644 index 00000000..97364ff9 --- /dev/null +++ b/summary/sessions/251/content.adoc @@ -0,0 +1,57 @@ +Date: 30-08-2025 + +Duration: 3 hours,4 minutes + +==== 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[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 and 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 and demonstrated how these reports provided structured outputs, detailing weaknesses, strengths, conclusions, graphs, and metrics. + *** link:https://www.deeplearning.ai/the-batch[DeepLearning.AI The Batch Newsletter^] + *** link: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[STM32 Wikipedia^] + *** link:https://www.st.com/en/evaluation-tools/stm32-nucleo-boards.html[STM32 Nucleo Boards - STMicroelectronics^] +* 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[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[UPI Lite Product Overview - NPCI^] + ** link: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[A Mathematical Theory of Communication by C. E. Shannon^] + ** link:https://stanforddatacompressionclass.github.io/Fall22[Stanford Data Compression Course Home^] + ** link:https://youtu.be/BiuknvAYDPs[OTC Talks #7: The Browser Backstage - Peek-in-Perf by @VivekGalatage^] + ** link:https://youtu.be/8_GgeASwHwQ[Google’s nano banana just killed Photoshop... let’s run it - Fireship^] + ** link:https://youtu.be/QgVR1dxy6zk[it only took 2 lines of code... - Low Level^] + ** link:https://youtu.be/fpkCNu_dzcM[CPU Summary - Computerphile^] + ** link:https://youtu.be/tnPAhVxsPHE[Your iPhone is Lying to You About Files... - LaurieWired^] + ** link:https://youtu.be/D4hNLgJmshg[The Operating System Known As GNU/Linux - Brodie Robertson^] + ** link:https://youtu.be/O9QD9an-0jU[well this isn't great... - Low Level^] + ** link:https://youtu.be/pOF11EDprxc[Deno vs Oracle: The ugly custody battle for JavaScript… - Fireship^] + ** link:https://youtu.be/rcBVqcoQkuA([Bash Pipes in C - Tsoding Daily^] + ** link:https://youtu.be/_bbuRFT2l-Q[AI Trends in 2025 - Gaurav Sen^] + ** link:https://youtu.be/2JzOe1Hs26Q[Accidentally Built a Nuclear Supercomputer. - PewDiePie^] + ** link:https://youtu.be/fzlflyw7X2I[The Next Big SHA? SHA3 Sponge Function Explained - Computerphile^] + ** link:https://youtu.be/55MwAlcpvK4[The Operating System Known As Linux - Brodie Robertson^] + ** link:https://ai.pydantic.dev/agents[Pydantic AI Agents Documentation^] + ** link:https://youtu.be/PhCrlpUwEhU[Agentic RAG: An End-to-End Open Source Framework - Weaviate^] + ** link:https://medium.com/@thomas_78526/builder-ai-was-a-scam-d1f8fdd16c3f[Builder.ai Was a Scam - Medium Article^] + ** link:https://github.com/TecharoHQ/anubis[Anubis GitHub Project (TecharoHQ)^] + ** link:https://www.beatflow.art[Beatflow Art Platform^] diff --git a/summary/static/img/251.png b/summary/static/img/251.png new file mode 100644 index 00000000..4fa72563 Binary files /dev/null and b/summary/static/img/251.png differ