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A Comprehensive Benchmark for Code Information Retrieval.
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. All in a modern, AI-native editor.
Making code edting up to 7.7x faster using multi-layer speculation
Open Source Application for Advanced LLM Engineering: interact, train, fine-tune, and evaluate large language models on your own computer.
Textbook on reinforcement learning from human feedback
Agentless🐱: an agentless approach to automatically solve software development problems
Sweep: AI coding assistant for JetBrains
"LightRAG: Simple and Fast Retrieval-Augmented Generation"
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
A holistic way of understanding how Llama and its components run in practice, with code and detailed documentation.
Interact, analyze and structure massive text, image, embedding, audio and video datasets
ModelScope-Agent: An agent framework connecting models in ModelScope with the world
Angrave's Crowd-Sourced System Programming Book used at UIUC
An AI agent that writes (actually useful) code for you
A modular graph-based Retrieval-Augmented Generation (RAG) system
The Open Source Memory Layer For Autonomous Agents
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Notes describing my understanding of how modern Python event loops work