AkariAsai

AkariAsai's Stars

• openai/openai-cookbook

  Examples and guides for using the OpenAI API

  Language:MDX61.1k9014959.8k

• meta-llama/llama

  Inference code for Llama models

  Language:Python57.2k5271.1k9.7k

• lm-sys/FastChat

  An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

  Language:Python37.5k3521.8k4.6k

• bitsandbytes-foundation/bitsandbytes

  Accessible large language models via k-bit quantization for PyTorch.

  Language:Python6.5k521.1k647

• pytorch/torchtune

  PyTorch native post-training library

  Language:Python4.7k48830484

• togethercomputer/RedPajama-Data

  The RedPajama-Data repository contains code for preparing large datasets for training large language models.

  Language:Python4.6k7892348

• nmslib/hnswlib

  Header-only C++/python library for fast approximate nearest neighbors

  Language:C++4.5k66378670

• allenai/open-instruct

  Language:Python2.3k22153264

• embeddings-benchmark/mteb

  MTEB: Massive Text Embedding Benchmark

  Language:Jupyter Notebook2.1k15631295

• gururise/AlpacaDataCleaned

  Alpaca dataset from Stanford, cleaned and curated

  Language:Python1.5k2725152

• MLGroupJLU/LLM-eval-survey

  The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".

  1.5k141791

• lucidrains/RETRO-pytorch

  Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch

  Language:Python8572634106

• primeqa/primeqa

  The prime repository for state-of-the-art Multilingual Question Answering research and development.

  Language:Python7322832757

• amazon-science/RAGChecker

  RAGChecker: A Fine-grained Framework For Diagnosing RAG

  Language:Python70181762

• facebookresearch/atlas

  Code repository for supporting the paper "Atlas Few-shot Learning with Retrieval Augmented Language Models",(https//arxiv.org/abs/2208.03299)

  Language:Python523121869

• zeno-ml/zeno-build

  Build, evaluate, understand, and fix LLM-based apps

  Language:Jupyter Notebook48596933

• princeton-nlp/ALCE

  [EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627

  Language:Python47192143

• bigscience-workshop/t-zero

  Reproduce results and replicate training fo T0 (Multitask Prompted Training Enables Zero-Shot Task Generalization)

  Language:Python461242252

• zphang/minimal-llama

  Language:Python456171145

• aditya-grover/climate-learn

  Source code for ClimateLearn

  Language:Jupyter Notebook32264051

• p-lambda/dsir

  DSIR large-scale data selection framework for language model training

  Language:Python24221819

• yizhongw/Tk-Instruct

  Tk-Instruct is a Transformer model that is tuned to solve many NLP tasks by following instructions.

  Language:Python17942628

• AlexTMallen/adaptive-retrieval

  Language:Python1742710

• wellecks/ntptutorial

  Tutorial on neural theorem proving

  Language:Jupyter Notebook1645015

• RulinShao/retrieval-scaling

  Official repository for "Scaling Retrieval-Based Langauge Models with a Trillion-Token Datastore".

  Language:Python1534314

• cmu-l3/llmlean

  LLMs + Lean, on your laptop or in the cloud

  Language:Lean1315117

• wellecks/llmstep

  llmstep: [L]LM proofstep suggestions in Lean 4.

  Language:Python1205515

• code-rag-bench/code-rag-bench

  CodeRAG-Bench: Can Retrieval Augment Code Generation?

  Language:HTML98048

• cmu-l3/ntptutorial-II

  Neural theorem proving tutorial, version II

  Language:Jupyter Notebook30205

• masakhane-io/afriqa

  Crosslingual Question Answering for African Languages

  Language:Python29289