Code I wrote for my AI & LLM workshops

The only reliable agent framework built on top of the latest OpenAI Assistants API.

The codebase for the book "AI-Powered Search" (Manning Publications, 2024)

Efficient vector database for hundred millions of embeddings.

🐚 OpenDevin: Code Less, Make More

Internet-scale Neural Networks

Full text search in your Pandas dataframe

The first real AI developer

Examples and guides for using the OpenAI API

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

Slowly turning this to an asciidoc template solely for PDF.

Transition between scatterplot representations of images with D3.js

Reproducing images with geometric primitives.

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions

Inquisitive Parrots for Search

Conversational UI for Figma

Chromium running inside your terminal

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)

Compute over Data framework for public, transparent, and optionally verifiable computation

Docker file for a minimal effort OpenStreetMap tile server

10x faster matrix and vector operations

Exploring word2vec embeddings as a graph of nearest neighbors

A GRPC Reverse Port Forward Server and Client.

BigANN Experiments of Team Sisu

📊 Open source visualization dashboards for OpenSearch.

🔎 Open source distributed and RESTful search engine.

Tunnel TCP connections through GRPC/HTTP2