rxlqn's Stars
openai/openai-cookbook
Examples and guides for using the OpenAI API
teacherpeterpan/self-correction-llm-papers
This is a collection of research papers for Self-Correcting Large Language Models with Automated Feedback.
debjitpaul/refiner
About The corresponding code from our paper " REFINER: Reasoning Feedback on Intermediate Representations" (EACL 2024). Do not hesitate to open an issue if you run into any trouble!
reasoning-machines/prompt-lib
A set of utilities for running few-shot prompting experiments on large-language models
kaistAI/SelFee
Official codebase for "SelFee: Iterative Self-Revising LLM Empowered by Self-Feedback Generation"
facebookresearch/Shepherd
This is the repo for the paper Shepherd -- A Critic for Language Model Generation
EleutherAI/gpt-neox
An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries
huggingface/accelerate
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
dair-ai/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
nlpxucan/WizardLM
LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath
xlang-ai/OpenAgents
[COLM 2024] OpenAgents: An Open Platform for Language Agents in the Wild
rxlqn/awesome-llm-self-reflection
augmented LLM with self reflection
pbhu1024/awesome-augmented-language-model
⚡Research papers about leveraging the capabilities of language models⚡
joonspk-research/generative_agents
Generative Agents: Interactive Simulacra of Human Behavior
NingMiao/SelfCheck
Code for the paper <SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning>
bigcode-project/bigcode-evaluation-harness
A framework for the evaluation of autoregressive code generation language models.
meta-llama/llama
Inference code for Llama models
EndlessCheng/codeforces-go
算法竞赛模板库 by 灵茶山艾府 💭💡🎈
madaan/self-refine
LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
geekan/MetaGPT
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
opendilab/awesome-RLHF
A curated list of reinforcement learning with human feedback resources (continually updated)
ysymyth/ReAct
[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models
noahshinn/reflexion
[NeurIPS 2023] Reflexion: Language Agents with Verbal Reinforcement Learning
LAION-AI/CLIP_benchmark
CLIP-like model evaluation
moein-shariatnia/OpenAI-CLIP
Simple implementation of OpenAI CLIP model in PyTorch.
GuyTevet/MotionCLIP
Official Pytorch implementation of the paper "MotionCLIP: Exposing Human Motion Generation to CLIP Space"
clip-italian/clip-italian
CLIP (Contrastive Language–Image Pre-training) for Italian
mlfoundations/open_clip
An open source implementation of CLIP.
dtch1997/ASE
openai/CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image