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

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

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

AI 应用示例合集

👩🏻‍🍳 A collection of example notebooks using Haystack

Jupyter Notebooks for Mastering LLM with Advanced RAG Course

A group of notebooks and other files which can help you learn AI from scratch.

✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】

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

GenAI Playground

I put all my exploration around AI in reproducible notebooks in this repository

AI Agent Work shop include Agent from Corepython, using CrewAI and Using SmolAgent

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

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

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

AI-powered knowledge management and question-answering system

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).

Data pipelines and notebooks for RAG tuning using Fondant

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!

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