💫 Toolkit to help you get started with Spec-Driven Development

Ontology for rhetorical figures in English

Simple Graph RAG demo based on Jaguar data

🎒 Token-Oriented Object Notation (TOON) – Compact, human-readable, schema-aware JSON for LLM prompts. Spec, benchmarks, TypeScript SDK.

LadybugDB a graph database

Simple, unified interface to multiple Generative AI providers

Research Agent service for the Agentic Workflow course

A community-curated collection of playbooks for building shared understanding. This is the official repository for the Pedantic Medallion framework.

🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLMs and AI agents.

Samples using the Agent2Agent (A2A) Protocol

A series of Jupyter notebooks that walk you through Machine Learning with Apache Spark ecosystem using Spark MLlib, PyTorch and TensorFlow.

A Docker image for PyTorch

Repository for training and deploying Generative AI models, including text-text, text-to-image generation and prompt engineering playground using SageMaker Studio.

Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.

All Code and Files for Intro to DevOps Week 1 Project

LLM101n: Let's build a Storyteller

https://graphacademy.neo4j.com/courses/llm-chatbot-python/

🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴

Curated list of datasets and tools for post-training.

A curated list of Large Language Model resources, covering model training, serving, fine-tuning, and building LLM applications.

[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)

This is a repo with links to everything you'd ever want to learn about data engineering