[NeurIPS 2023] Reflexion: Language Agents with Verbal Reinforcement Learning

Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.

An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io/vallex/

Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)

Official implementation for "Multimodal Chain-of-Thought Reasoning in Language Models" (stay tuned and more will be updated)

Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

🐝 GPTSwarm: LLM agents as (Optimizable) Graphs

A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)

This is the official code for the paper CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning (NeurIPS22).

An open-source RAG-based tool for chatting with your documents.

[TMLR] A curated list of language modeling researches for code and related datasets.

Train transformer language models with reinforcement learning.

Code for the MedRAG toolkit

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

Emote Portrait Alive: Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions

DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text

[ACL 2024 Demo] SeaLLMs - Large Language Models for Southeast Asia

Is ChatGPT Good at Search? LLMs as Re-Ranking Agent [EMNLP 2023 Outstanding Paper Award]

A developer reference project for creating Retrieval Augmented Generation (RAG) chatbots on Windows using TensorRT-LLM

This is the repository for our paper "INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning"

SimXNS is a research project for information retrieval. This repo contains official implementations by MSRA NLC team.

Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"

[ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

The official codes for "PMC-LLaMA: Towards Building Open-source Language Models for Medicine"

CIKM'21: JPQ substantially improves the efficiency of Dense Retrieval with 30x compression ratio, 10x CPU speedup and 2x GPU speedup.

Learning to Rank in PyTorch

Training & evaluation library for text-based neural re-ranking and dense retrieval models built with PyTorch

Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation

[SIGIR 2022] The official repo for the paper "Curriculum Learning for Dense Retrieval Distillation".