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.

Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI

👩🏻‍🍳 A collection of example notebooks using Haystack

✔（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.

A collection of notebooks, cookbooks, and recipes showcasing fun and effective ways to use CrewAI's agentic workflow implementations and tools.

Learn about designing and training LLM Agents from Colab Notebooks

A collection of Kotlin-based examples featuring AI frameworks such as Spring AI, LangChain4j, and more — complete with Kotlin notebooks for hands-on learning.

LangGraph Typescript Agents Notebooks: email, human in the loop, memory

Notebooks for the Built Multi-Agent Applications with AutoGen Course

A companion guide for the blog post series, LangChain Decoded.

This is a repository of agent notebooks that contains studies on how to use various agent libraries with different tools and methods.

Notebooks of the Agentic Auditing Tutorial of 63rd World Continuous Auditing and Reporting Symposium (WCARS).

The notebooks & projects code for Generative for Backend Dev online bootcamp

Repository containing practical exercises and notebooks focused on AI application development and experimentation.

These are the Microsoft Semantic Kernel Workshop notebooks. It addresses AI agents, agents collaboration and, of course, kernel, plugins, planners and function calling

Experimental Marimo extension for Agentic Notebooks -- integrating AI Agents into the Notebook workflow

End-to-end financial text-analysis using Bigdata API and the Bigdata-Research-Tools library. Ready-to-use notebooks with RAG & GenAI enabling thematic and risk screening, trend tracking, and automated report generation, extracting insights at scale.

Jupyeter Notebooks that demo Generative AI concepts