Implementation of TWOSOME

official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning

RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

Parse files for optimal RAG

Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, LLMs, RAGs, LangChain, LangGraph, Fine-tuning Llama 3 & AI Agents (CrewAI)

Build resilient language agents as graphs.

Implementation of "RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation".

The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval

Code for our ACL 2023 Paper "Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models".

This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi.

ImageBind One Embedding Space to Bind Them All

DSPy: The framework for programming—not prompting—foundation models

LLM based autonomous agent that does online comprehensive research on any given topic

Drag & drop UI to build your customized LLM flow

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

LLM training in simple, raw C/CUDA

Official repository of Evolutionary Optimization of Model Merging Recipes

LILO: Library Induction with Language Observations

🕹️ A diverse suite of scalable reinforcement learning environments in JAX

Lamorel is a Python library designed for RL practitioners eager to use Large Language Models (LLMs).

We perform functional grounding of LLMs' knowledge in BabyAI-Text

[ICLR 2024] Source codes for the paper "Building Cooperative Embodied Agents Modularly with Large Language Models"

[CoRL '23] Dexterous piano playing with deep reinforcement learning.

The implementation of "Prismer: A Vision-Language Model with Multi-Task Experts".

Reduce multiple PyTorch TensorBoard runs to new event (or CSV) files.

JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

Repository for Skill Set Optimization