Repository for the "Building LLMs for Production" book by Towards AI.

Notebooks and Code about Generative Ai, LLMs, MLOPS, NLP , CV and Graph databases

AI 应用示例合集

A demo Jupyter Notebook showcasing a simple local RAG (Retrieval Augmented Generation) pipeline to chat with your PDFs.

Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 ,Agents.

Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 , Agents.

This project aims to introduce and demonstrate the practical applications of RAG using Python code in a Jupyter Notebook environment.

Interactive notes (Jupyter Notebooks) for building AI-powered applications

Jupyter Notebooks for Mastering LLM with Advanced RAG Course

Jupyter notebooks for course Building and Evaluating Advanced RAG Applications, taught by Jerry Liu (Co-founder and CEO of LlamaIndex) and Anupam Datta (Co-founder and chief scientist of TruEra).

Notebooks for Amadeus Coding dojo on LLMs using Azure OpenAI

Data pipelines and notebooks for RAG tuning using Fondant

GenAI Playground

Notebooks demonstrating vector search & RAG design patterns with Redis Python clients.

Learn the fundamentals of LLMs & Retrieval-Augmented Generation (RAG) through hands-on notebooks, then build your own AI-powered Q&A chat app using Streamlit. Bring your own documents and get started with our video guide!

Perform RAG (Retrieval-Augmented Generation) from your PDFs using this Colab notebook! Powered by Llama 2

Have a chat with your documents, research papers and textbooks (RAG)

Demo done in a jupyter notebook to show how Retrieval Augmented Generation (RAG) can be done without using any frameworks.

Sample RAG notebooks

This repository provides Jupyter notebooks for exploring and utilizing Cohere's Large Language Models (LLMs) in various applications, including chatbots and retrieval-augmented generation (RAG). These notebooks serve as a practical guide for deploying Cohere models for conversational AI and information retrieval tasks.