Learning

A tutorial that bridges the gap between inference theory and production code by making you build a working mini-sglang first.

A self-contained course on the harness engineering that gives LLMs state, action, and limits, dissected across 24 sections and three real systems.

Official code for a book that ships PicoAgents, a full multi-agent framework written from scratch so you can see how the pieces fit together without vendor abstraction getting in the way.

A curated attempt to keep the sprawling DeepSeek Harness plugin ecosystem navigable.

Trying to keep the DeepSeek Harness plugin ecosystem from becoming unsearchable.

Runnable Colab notebooks that teach backend engineers the applied-LLM stack through raw API calls, because understanding the loop is the actual job skill.

DeepSeek's agent runtime has architecture docs; this is the missing field manual for actually using it.

A Chinese-language full-stack course that treats copy-paste coding as a failure mode, making readers hand-craft `Llama 2` and `Transformer` blocks before moving on to fine-tuning and deployment.

Curated codes and references for a Portuguese-language postgraduate program in applied AI, organized from browser machine learning to local LLMs and MCP automation.

Someone had to catalog the explosion of tools trying to herd AI coding agents in parallel.

These prompts exist because treating ChatGPT like a magic template machine is why your user stories still sound like Mad Libs.

A Chinese knowledge base that maps papers, code, datasets, and hiring pipelines onto a single problem map for humanoid motion research.

A game developer's personal learning journal, open-sourced: books, videos, tools, and models that actually helped someone build with AI.

A curated collection of Jupyter notebooks and R Markdown files covering the standard ML curriculum, useful mostly as a reference for how to structure your own.

A curated bibliography tracking how AI agents evolved from single-turn prompts into persistent systems that reason across hours, sessions, or open-ended task streams.

It sorts the sprawling open-source landscape of AI companions into a tagged index of chat clients, memory engines, and virtual phones.

A curated anthology of the most effective—and verbose—GPT Image 2 prompts scraped from X.

A hands-on Node.js tutorial series that makes you implement embeddings, vector stores, and retrieval yourself so RAG stops feeling like magic.

This repository exists to track which companies have officially published DESIGN.md files so AI coding agents can generate consistent UI without extracting design tokens from Figma files or websites.

A project-based course that teaches LangChain v1 and LangGraph by building real agents with real APIs.