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NhanPhamThanh-IT / LLM-Web-Summarizer

Star 16

🤖 A powerful web application that automatically summarizes web content using local Large Language Models via Ollama. Built with Streamlit and BeautifulSoup, simply input any URL and get intelligent summaries with complete privacy - no data sent to APIs.

pythonopen-sourcejupyter-notebookartificial-intelligencerequestwebscrapingbeautifulsoup4streamlit-webapplarge-language-modelsllmtext-summaryollamallm-modelllama-modelsweb-summarizer
  • Updated Jul 24, 2025
  • Jupyter Notebook

H0NEYP0T-466 / Pen2PDF

Star 10

⚡ Pen2PDF Suite – an all-in-one 🚀 productivity platform ✨ with 🤖 AI-powered text extraction (PDF/Images → Markdown 📝), 📅 smart timetable management (CSV/Excel import 📊), ✅ todo lists with subtasks📈, 🧠 AI-generated notes library 📚 and 💬 Isabella AI assistant (OpenAI/Microsoft/llama/Mistral/LongCat/Gemini models 🔄)for context-aware help 🧩.

ocrself-hostedtext-extractionopenaifile-convertermistralmern-stackdocument-processingpdf-toolshandwritten-noteslongcatgoogle-geminippt-to-pdfpdf-to-markdownllama-modelsmicrosoft-phi-4ai-text-extractionpen2pdf
  • Updated Dec 29, 2025
  • JavaScript

ksm26 / Improving-Accuracy-of-LLM-Applications

Star 4

The course equips developers with techniques to enhance the reliability of LLMs, focusing on evaluation, prompt engineering, and fine-tuning. Learn to systematically improve model accuracy through hands-on projects, including building a text-to-SQL agent and applying advanced fine-tuning methods.

loraevaluation-frameworkperformance-optimizationtext-to-sqlself-reflectionmomeprompt-engineeringllm-accuracyinstruction-fine-tuningmemory-tuningiterative-fine-tuningllama-modelsmodel-reliability
  • Updated Aug 29, 2024
  • Jupyter Notebook

arsath-eng / RAG1-NVIDIA-GENAI

Star 3

A powerful Retrieval Augmented Generation (RAG) application built with NVIDIA AI endpoints and Streamlit. This solution enables intelligent document analysis and question-answering using state-of-the-art language models, featuring multi-PDF processing, FAISS vector store integration, and advanced prompt engineering.

embeddingsquestion-answeringdocument-analysisfaissragpdf-processingstreamlitllmlangchainvector-storenvidia-ai-faundryllama-models
  • Updated Oct 31, 2024
  • Python

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all 
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(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
llama-models · GitHub Topics · GitHub
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llama-models


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Python
4
Jupyter Notebook
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NhanPhamThanh-IT /
LLM-Web-Summarizer

Star
16
🤖 A powerful web application that automatically summarizes web content using local Large Language Models via Ollama. Built with Streamlit and BeautifulSoup, simply input any URL and get intelligent summaries with complete privacy - no data sent to APIs.
pythonopen-sourcejupyter-notebookartificial-intelligencerequestwebscrapingbeautifulsoup4streamlit-webapplarge-language-modelsllmtext-summaryollamallm-modelllama-modelsweb-summarizer
  • 
Updated
Jul 24, 2025
  • Jupyter Notebook
H0NEYP0T-466 /
Pen2PDF

Star
10
⚡ Pen2PDF Suite – an all-in-one 🚀 productivity platform ✨ with 🤖 AI-powered text extraction (PDF/Images → Markdown 📝), 📅 smart timetable management (CSV/Excel import 📊), ✅ todo lists with subtasks📈, 🧠 AI-generated notes library 📚 and 💬 Isabella AI assistant (OpenAI/Microsoft/llama/Mistral/LongCat/Gemini models 🔄)for context-aware help 🧩.
ocrself-hostedtext-extractionopenaifile-convertermistralmern-stackdocument-processingpdf-toolshandwritten-noteslongcatgoogle-geminippt-to-pdfpdf-to-markdownllama-modelsmicrosoft-phi-4ai-text-extractionpen2pdf
  • 
Updated
Dec 29, 2025
  • JavaScript
ksm26 /
Improving-Accuracy-of-LLM-Applications

Star
4
The course equips developers with techniques to enhance the reliability of LLMs, focusing on evaluation, prompt engineering, and fine-tuning. Learn to systematically improve model accuracy through hands-on projects, including building a text-to-SQL agent and applying advanced fine-tuning methods.
loraevaluation-frameworkperformance-optimizationtext-to-sqlself-reflectionmomeprompt-engineeringllm-accuracyinstruction-fine-tuningmemory-tuningiterative-fine-tuningllama-modelsmodel-reliability
  • 
Updated
Aug 29, 2024
  • Jupyter Notebook
arsath-eng /
RAG1-NVIDIA-GENAI

Star
3
A powerful Retrieval Augmented Generation (RAG) application built with NVIDIA AI endpoints and Streamlit. This solution enables intelligent document analysis and question-answering using state-of-the-art language models, featuring multi-PDF processing, FAISS vector store integration, and advanced prompt engineering.
embeddingsquestion-answeringdocument-analysisfaissragpdf-processingstreamlitllmlangchainvector-storenvidia-ai-faundryllama-models
  • 
Updated
Oct 31, 2024
  • Python

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, 'i');
if (__m === '*' || __re.test(location.href)) {
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(function(){
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var __re = new RegExp('^' + ".*" + '
llama-models · GitHub Topics · GitHub
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llama-models


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Here are
9 public repositories
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All
9
Python
4
Jupyter Notebook
2
C
1
JavaScript
1
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1
NhanPhamThanh-IT /
LLM-Web-Summarizer

Star
16
🤖 A powerful web application that automatically summarizes web content using local Large Language Models via Ollama. Built with Streamlit and BeautifulSoup, simply input any URL and get intelligent summaries with complete privacy - no data sent to APIs.
pythonopen-sourcejupyter-notebookartificial-intelligencerequestwebscrapingbeautifulsoup4streamlit-webapplarge-language-modelsllmtext-summaryollamallm-modelllama-modelsweb-summarizer
  • 
Updated
Jul 24, 2025
  • Jupyter Notebook
H0NEYP0T-466 /
Pen2PDF

Star
10
⚡ Pen2PDF Suite – an all-in-one 🚀 productivity platform ✨ with 🤖 AI-powered text extraction (PDF/Images → Markdown 📝), 📅 smart timetable management (CSV/Excel import 📊), ✅ todo lists with subtasks📈, 🧠 AI-generated notes library 📚 and 💬 Isabella AI assistant (OpenAI/Microsoft/llama/Mistral/LongCat/Gemini models 🔄)for context-aware help 🧩.
ocrself-hostedtext-extractionopenaifile-convertermistralmern-stackdocument-processingpdf-toolshandwritten-noteslongcatgoogle-geminippt-to-pdfpdf-to-markdownllama-modelsmicrosoft-phi-4ai-text-extractionpen2pdf
  • 
Updated
Dec 29, 2025
  • JavaScript
ksm26 /
Improving-Accuracy-of-LLM-Applications

Star
4
The course equips developers with techniques to enhance the reliability of LLMs, focusing on evaluation, prompt engineering, and fine-tuning. Learn to systematically improve model accuracy through hands-on projects, including building a text-to-SQL agent and applying advanced fine-tuning methods.
loraevaluation-frameworkperformance-optimizationtext-to-sqlself-reflectionmomeprompt-engineeringllm-accuracyinstruction-fine-tuningmemory-tuningiterative-fine-tuningllama-modelsmodel-reliability
  • 
Updated
Aug 29, 2024
  • Jupyter Notebook
arsath-eng /
RAG1-NVIDIA-GENAI

Star
3
A powerful Retrieval Augmented Generation (RAG) application built with NVIDIA AI endpoints and Streamlit. This solution enables intelligent document analysis and question-answering using state-of-the-art language models, featuring multi-PDF processing, FAISS vector store integration, and advanced prompt engineering.
embeddingsquestion-answeringdocument-analysisfaissragpdf-processingstreamlitllmlangchainvector-storenvidia-ai-faundryllama-models
  • 
Updated
Oct 31, 2024
  • Python

Add this topic to your repo


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, 'i');
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(function(){
try {
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var __re = new RegExp('^' + ".*" + '
llama-models · GitHub Topics · GitHub
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llama-models


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Here are
9 public repositories
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All
9
Python
4
Jupyter Notebook
2
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JavaScript
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NhanPhamThanh-IT /
LLM-Web-Summarizer

Star
16
🤖 A powerful web application that automatically summarizes web content using local Large Language Models via Ollama. Built with Streamlit and BeautifulSoup, simply input any URL and get intelligent summaries with complete privacy - no data sent to APIs.
pythonopen-sourcejupyter-notebookartificial-intelligencerequestwebscrapingbeautifulsoup4streamlit-webapplarge-language-modelsllmtext-summaryollamallm-modelllama-modelsweb-summarizer
  • 
Updated
Jul 24, 2025
  • Jupyter Notebook
H0NEYP0T-466 /
Pen2PDF

Star
10
⚡ Pen2PDF Suite – an all-in-one 🚀 productivity platform ✨ with 🤖 AI-powered text extraction (PDF/Images → Markdown 📝), 📅 smart timetable management (CSV/Excel import 📊), ✅ todo lists with subtasks📈, 🧠 AI-generated notes library 📚 and 💬 Isabella AI assistant (OpenAI/Microsoft/llama/Mistral/LongCat/Gemini models 🔄)for context-aware help 🧩.
ocrself-hostedtext-extractionopenaifile-convertermistralmern-stackdocument-processingpdf-toolshandwritten-noteslongcatgoogle-geminippt-to-pdfpdf-to-markdownllama-modelsmicrosoft-phi-4ai-text-extractionpen2pdf
  • 
Updated
Dec 29, 2025
  • JavaScript
ksm26 /
Improving-Accuracy-of-LLM-Applications

Star
4
The course equips developers with techniques to enhance the reliability of LLMs, focusing on evaluation, prompt engineering, and fine-tuning. Learn to systematically improve model accuracy through hands-on projects, including building a text-to-SQL agent and applying advanced fine-tuning methods.
loraevaluation-frameworkperformance-optimizationtext-to-sqlself-reflectionmomeprompt-engineeringllm-accuracyinstruction-fine-tuningmemory-tuningiterative-fine-tuningllama-modelsmodel-reliability
  • 
Updated
Aug 29, 2024
  • Jupyter Notebook
arsath-eng /
RAG1-NVIDIA-GENAI

Star
3
A powerful Retrieval Augmented Generation (RAG) application built with NVIDIA AI endpoints and Streamlit. This solution enables intelligent document analysis and question-answering using state-of-the-art language models, featuring multi-PDF processing, FAISS vector store integration, and advanced prompt engineering.
embeddingsquestion-answeringdocument-analysisfaissragpdf-processingstreamlitllmlangchainvector-storenvidia-ai-faundryllama-models
  • 
Updated
Oct 31, 2024
  • Python

Add this topic to your repo


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, 'i');
if (__m === '*' || __re.test(location.href)) {
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'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
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try {
var u = new URL(url, window.location.origin);
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})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
llama-models · GitHub Topics · GitHub
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llama-models


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Here are
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All
9
Python
4
Jupyter Notebook
2
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JavaScript
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NhanPhamThanh-IT /
LLM-Web-Summarizer

Star
16
🤖 A powerful web application that automatically summarizes web content using local Large Language Models via Ollama. Built with Streamlit and BeautifulSoup, simply input any URL and get intelligent summaries with complete privacy - no data sent to APIs.
pythonopen-sourcejupyter-notebookartificial-intelligencerequestwebscrapingbeautifulsoup4streamlit-webapplarge-language-modelsllmtext-summaryollamallm-modelllama-modelsweb-summarizer
  • 
Updated
Jul 24, 2025
  • Jupyter Notebook
H0NEYP0T-466 /
Pen2PDF

Star
10
⚡ Pen2PDF Suite – an all-in-one 🚀 productivity platform ✨ with 🤖 AI-powered text extraction (PDF/Images → Markdown 📝), 📅 smart timetable management (CSV/Excel import 📊), ✅ todo lists with subtasks📈, 🧠 AI-generated notes library 📚 and 💬 Isabella AI assistant (OpenAI/Microsoft/llama/Mistral/LongCat/Gemini models 🔄)for context-aware help 🧩.
ocrself-hostedtext-extractionopenaifile-convertermistralmern-stackdocument-processingpdf-toolshandwritten-noteslongcatgoogle-geminippt-to-pdfpdf-to-markdownllama-modelsmicrosoft-phi-4ai-text-extractionpen2pdf
  • 
Updated
Dec 29, 2025
  • JavaScript
ksm26 /
Improving-Accuracy-of-LLM-Applications

Star
4
The course equips developers with techniques to enhance the reliability of LLMs, focusing on evaluation, prompt engineering, and fine-tuning. Learn to systematically improve model accuracy through hands-on projects, including building a text-to-SQL agent and applying advanced fine-tuning methods.
loraevaluation-frameworkperformance-optimizationtext-to-sqlself-reflectionmomeprompt-engineeringllm-accuracyinstruction-fine-tuningmemory-tuningiterative-fine-tuningllama-modelsmodel-reliability
  • 
Updated
Aug 29, 2024
  • Jupyter Notebook
arsath-eng /
RAG1-NVIDIA-GENAI

Star
3
A powerful Retrieval Augmented Generation (RAG) application built with NVIDIA AI endpoints and Streamlit. This solution enables intelligent document analysis and question-answering using state-of-the-art language models, featuring multi-PDF processing, FAISS vector store integration, and advanced prompt engineering.
embeddingsquestion-answeringdocument-analysisfaissragpdf-processingstreamlitllmlangchainvector-storenvidia-ai-faundryllama-models
  • 
Updated
Oct 31, 2024
  • Python

Add this topic to your repo


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llama-models
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
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function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
if (btn && !btn.classList.contains('activated')) {
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if (location.href !== lastUrl) {
lastUrl = location.href;
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} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
llama-models · GitHub Topics · GitHub
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#


llama-models


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Here are
9 public repositories
matching this topic...

Language:All
Filter by language

All
9
Python
4
Jupyter Notebook
2
C
1
JavaScript
1
PHP
1
NhanPhamThanh-IT /
LLM-Web-Summarizer

Star
16
🤖 A powerful web application that automatically summarizes web content using local Large Language Models via Ollama. Built with Streamlit and BeautifulSoup, simply input any URL and get intelligent summaries with complete privacy - no data sent to APIs.
pythonopen-sourcejupyter-notebookartificial-intelligencerequestwebscrapingbeautifulsoup4streamlit-webapplarge-language-modelsllmtext-summaryollamallm-modelllama-modelsweb-summarizer
  • 
Updated
Jul 24, 2025
  • Jupyter Notebook
H0NEYP0T-466 /
Pen2PDF

Star
10
⚡ Pen2PDF Suite – an all-in-one 🚀 productivity platform ✨ with 🤖 AI-powered text extraction (PDF/Images → Markdown 📝), 📅 smart timetable management (CSV/Excel import 📊), ✅ todo lists with subtasks📈, 🧠 AI-generated notes library 📚 and 💬 Isabella AI assistant (OpenAI/Microsoft/llama/Mistral/LongCat/Gemini models 🔄)for context-aware help 🧩.
ocrself-hostedtext-extractionopenaifile-convertermistralmern-stackdocument-processingpdf-toolshandwritten-noteslongcatgoogle-geminippt-to-pdfpdf-to-markdownllama-modelsmicrosoft-phi-4ai-text-extractionpen2pdf
  • 
Updated
Dec 29, 2025
  • JavaScript
ksm26 /
Improving-Accuracy-of-LLM-Applications

Star
4
The course equips developers with techniques to enhance the reliability of LLMs, focusing on evaluation, prompt engineering, and fine-tuning. Learn to systematically improve model accuracy through hands-on projects, including building a text-to-SQL agent and applying advanced fine-tuning methods.
loraevaluation-frameworkperformance-optimizationtext-to-sqlself-reflectionmomeprompt-engineeringllm-accuracyinstruction-fine-tuningmemory-tuningiterative-fine-tuningllama-modelsmodel-reliability
  • 
Updated
Aug 29, 2024
  • Jupyter Notebook
arsath-eng /
RAG1-NVIDIA-GENAI

Star
3
A powerful Retrieval Augmented Generation (RAG) application built with NVIDIA AI endpoints and Streamlit. This solution enables intelligent document analysis and question-answering using state-of-the-art language models, featuring multi-PDF processing, FAISS vector store integration, and advanced prompt engineering.
embeddingsquestion-answeringdocument-analysisfaissragpdf-processingstreamlitllmlangchainvector-storenvidia-ai-faundryllama-models
  • 
Updated
Oct 31, 2024
  • Python

Add this topic to your repo


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llama-models
topic, visit your repo's landing page and select "manage topics."


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, 'i');
if (__m === '*' || __re.test(location.href)) {
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document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) {
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observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
llama-models · GitHub Topics · GitHub
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#


llama-models


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Here are
9 public repositories
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Filter by language

All
9
Python
4
Jupyter Notebook
2
C
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JavaScript
1
PHP
1
NhanPhamThanh-IT /
LLM-Web-Summarizer

Star
16
🤖 A powerful web application that automatically summarizes web content using local Large Language Models via Ollama. Built with Streamlit and BeautifulSoup, simply input any URL and get intelligent summaries with complete privacy - no data sent to APIs.
pythonopen-sourcejupyter-notebookartificial-intelligencerequestwebscrapingbeautifulsoup4streamlit-webapplarge-language-modelsllmtext-summaryollamallm-modelllama-modelsweb-summarizer
  • 
Updated
Jul 24, 2025
  • Jupyter Notebook
H0NEYP0T-466 /
Pen2PDF

Star
10
⚡ Pen2PDF Suite – an all-in-one 🚀 productivity platform ✨ with 🤖 AI-powered text extraction (PDF/Images → Markdown 📝), 📅 smart timetable management (CSV/Excel import 📊), ✅ todo lists with subtasks📈, 🧠 AI-generated notes library 📚 and 💬 Isabella AI assistant (OpenAI/Microsoft/llama/Mistral/LongCat/Gemini models 🔄)for context-aware help 🧩.
ocrself-hostedtext-extractionopenaifile-convertermistralmern-stackdocument-processingpdf-toolshandwritten-noteslongcatgoogle-geminippt-to-pdfpdf-to-markdownllama-modelsmicrosoft-phi-4ai-text-extractionpen2pdf
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Dec 29, 2025
  • JavaScript
ksm26 /
Improving-Accuracy-of-LLM-Applications

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4
The course equips developers with techniques to enhance the reliability of LLMs, focusing on evaluation, prompt engineering, and fine-tuning. Learn to systematically improve model accuracy through hands-on projects, including building a text-to-SQL agent and applying advanced fine-tuning methods.
loraevaluation-frameworkperformance-optimizationtext-to-sqlself-reflectionmomeprompt-engineeringllm-accuracyinstruction-fine-tuningmemory-tuningiterative-fine-tuningllama-modelsmodel-reliability
  • 
Updated
Aug 29, 2024
  • Jupyter Notebook
arsath-eng /
RAG1-NVIDIA-GENAI

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3
A powerful Retrieval Augmented Generation (RAG) application built with NVIDIA AI endpoints and Streamlit. This solution enables intelligent document analysis and question-answering using state-of-the-art language models, featuring multi-PDF processing, FAISS vector store integration, and advanced prompt engineering.
embeddingsquestion-answeringdocument-analysisfaissragpdf-processingstreamlitllmlangchainvector-storenvidia-ai-faundryllama-models
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  • Python

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if (__m === '*' || __re.test(location.href)) {
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filter: none !important;
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/* Fix common UI elements */
.modal, .popup, .dropdown-menu, .tooltip, .popover {
filter: invert(1) hue-rotate(180deg) !important;
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}
/* Scrollbars */
::-webkit-scrollbar { background: #1a1a2e !important; }
::-webkit-scrollbar-thumb { background: #444 !important; }
::-webkit-scrollbar-thumb:hover { background: #555 !important; }
/* Selection */
::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
';
}
function removeDarkMode() {
var style = document.getElementById('universal-dark-mode-style');
if (style) style.remove();
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// Toggle with Alt+Shift+D
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if (e.altKey && e.shiftKey && e.key === 'D') {
e.preventDefault();
enabled = !enabled;
if (enabled) {
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// Apply on load
applyDarkMode();
// Re-apply on dynamic content
var observer = new MutationObserver(function(mutations) {
if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
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observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
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})();
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NhanPhamThanh-IT /
LLM-Web-Summarizer

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🤖 A powerful web application that automatically summarizes web content using local Large Language Models via Ollama. Built with Streamlit and BeautifulSoup, simply input any URL and get intelligent summaries with complete privacy - no data sent to APIs.
pythonopen-sourcejupyter-notebookartificial-intelligencerequestwebscrapingbeautifulsoup4streamlit-webapplarge-language-modelsllmtext-summaryollamallm-modelllama-modelsweb-summarizer
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Jul 24, 2025
  • Jupyter Notebook
H0NEYP0T-466 /
Pen2PDF

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10
⚡ Pen2PDF Suite – an all-in-one 🚀 productivity platform ✨ with 🤖 AI-powered text extraction (PDF/Images → Markdown 📝), 📅 smart timetable management (CSV/Excel import 📊), ✅ todo lists with subtasks📈, 🧠 AI-generated notes library 📚 and 💬 Isabella AI assistant (OpenAI/Microsoft/llama/Mistral/LongCat/Gemini models 🔄)for context-aware help 🧩.
ocrself-hostedtext-extractionopenaifile-convertermistralmern-stackdocument-processingpdf-toolshandwritten-noteslongcatgoogle-geminippt-to-pdfpdf-to-markdownllama-modelsmicrosoft-phi-4ai-text-extractionpen2pdf
  • 
Updated
Dec 29, 2025
  • JavaScript
ksm26 /
Improving-Accuracy-of-LLM-Applications

Star
4
The course equips developers with techniques to enhance the reliability of LLMs, focusing on evaluation, prompt engineering, and fine-tuning. Learn to systematically improve model accuracy through hands-on projects, including building a text-to-SQL agent and applying advanced fine-tuning methods.
loraevaluation-frameworkperformance-optimizationtext-to-sqlself-reflectionmomeprompt-engineeringllm-accuracyinstruction-fine-tuningmemory-tuningiterative-fine-tuningllama-modelsmodel-reliability
  • 
Updated
Aug 29, 2024
  • Jupyter Notebook
arsath-eng /
RAG1-NVIDIA-GENAI

Star
3
A powerful Retrieval Augmented Generation (RAG) application built with NVIDIA AI endpoints and Streamlit. This solution enables intelligent document analysis and question-answering using state-of-the-art language models, featuring multi-PDF processing, FAISS vector store integration, and advanced prompt engineering.
embeddingsquestion-answeringdocument-analysisfaissragpdf-processingstreamlitllmlangchainvector-storenvidia-ai-faundryllama-models
  • 
Updated
Oct 31, 2024
  • Python

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