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llama-models

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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.

  • Updated Jul 24, 2025
  • Jupyter Notebook

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.

  • Updated Aug 29, 2024
  • Jupyter Notebook

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.

  • Updated Oct 31, 2024
  • Python

This project allows you to convert Llama model weights to the Hugging Face format, making it easier to work with Llama models in various applications.

  • Updated Nov 3, 2024
  • Python

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