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

AI 应用示例合集

A Notebook with Flexible Customization and Easy Integration.

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.

GenAI Playground

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

🪐 ✨ Jupyter AI Agents are agents equipped with tools like 'execute', 'insert_cell', and more, to transform your Jupyter Notebooks into an intelligent, interactive workspace!

QA With Jupyter NoteBook(.ipynb) powered by LangChain & Anthropic

Notebooks with source code for self-study experiment with LLM chain and agent for information retrieval on Nebulous: Fleet Command datasets.

Adaptive RAG agent using Groq API and Llama-3.3-70B, featuring intelligent question routing, fallback mechanisms, and self-correction in a Jupyter notebook.