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Stanford NLP Python library for Representation Finetuning (ReFT)
Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.
real time face swap and one-click video deepfake with only a single image
A self-organizing file system with llama 3
Turn any webpage into structured data using LLMs
Backstage is an open framework for building developer portals
Easily embed, cluster and semantically label text datasets
A framework for prompt tuning using Intent-based Prompt Calibration
Supercharge Your LLM Application Evaluations 🚀
A guidance language for controlling large language models.
SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & RingAttention & RFT)
A framework for few-shot evaluation of language models.
Fast and memory-efficient exact attention
The best and strongest dotfiles. Editor: Neovim; Shell: zsh(zinit, powerlevel10k); Terminal: WezTerm; Desktop: Hyprland, ulauncher, dunst; OS: ArchLinux (Ubuntu/Fedora/CentOS)
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
The source code of MacGNN, The Web Conference 2024.
For releasing code related to compression methods for transformers, accompanying our publications
MTEB: Massive Text Embedding Benchmark
Retrieval and Retrieval-augmented LLMs
Train transformer language models with reinforcement learning.
Open-source tool to visualise your RAG 🔮
End-to-End Object Detection with Transformers