Efficiently Fine-Tune 100+ LLMs in WebUI (ACL 2024)

The official Meta Llama 3 GitHub site

Download market data from Yahoo! Finance's API

A framework for few-shot evaluation of language models.

OpenChat: Advancing Open-source Language Models with Imperfect Data

A Native-PyTorch Library for LLM Fine-tuning

🤗 Evaluate: A library for easily evaluating machine learning models and datasets.

OpenAGI: When LLM Meets Domain Experts

A multi-purpose LLM framework for RAG and data creation.

Naver sentiment movie corpus

부스트캠프 AI Tech - Product Serving 자료

A novel embedding training algorithm leveraging ANN search and achieved SOTA retrieval on Trec DL 2019 and OpenQA benchmarks

Uncertainty quantification with PyTorch

A curated list of awesome instruction tuning datasets, models, papers and repositories.

Source Code of Paper "GPTScore: Evaluate as You Desire"

The Universe of Evaluation. All about the evaluation for LLMs.

Code and Data for "Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering"

Self-Evolved Diverse Data Sampling for Efficient Instruction Tuning

Forked repo from https://github.com/EleutherAI/lm-evaluation-harness/commit/1f66adc

Source code of the paper: RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering [Findings of ACL 2024]

Implementation of the Paper "Goal-Driven Explainable Clustering via Language Descriptions"

Time-series-LLM

ConvGQR: Generative Query Reformulation for Conversational Search. A codebase for ACL 2023 accepted paper.

Code and data for "KoDialogBench: Evaluating Conversational Understanding of Language Models with Korean Dialogue Benchmark" (LREC-COLING 2024)