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개발자를 위한 이력서 작성 가이드, 포맷 그리고 다양한 예시들
Awesome list of Korean Large Language Models.
A multi-purpose LLM framework for RAG and data creation.
Practical course about Large Language Models.
Code and Data for "Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering"
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
Download market data from Yahoo! Finance's API
Implementation of the Paper "Goal-Driven Explainable Clustering via Language Descriptions"
A framework for few-shot evaluation of language models.
A Survey of Attributions for Large Language Models
[ Text Analytics ] 법률 도메인 특화 한국어 기반 LLM 개발
A Native-PyTorch Library for LLM Fine-tuning
Uncertainty quantification with PyTorch
Instruct-tune LLaMA on consumer hardware
Source code of the paper: RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering [Findings of ACL 2024]
Faithfulness and factuality annotations of XSum summaries from our paper "On Faithfulness and Factuality in Abstractive Summarization" (https://www.aclweb.org/anthology/2020.acl-main.173.pdf).
Forked repo from https://github.com/EleutherAI/lm-evaluation-harness/commit/1f66adc
The Universe of Evaluation. All about the evaluation for LLMs.
Awesome LLM for NLG Evaluation Papers
Awesome-LLM-Eval: a curated list of tools, datasets/benchmark, demos, leaderboard, papers, docs and models, mainly for Evaluation on LLMs. 一个由工具、基准/数据、演示、排行榜和大模型等组成的精选列表，主要面向基础大模型评测，旨在探求生成式AI的技术边界.
The papers are organized according to our survey: Evaluating Large Language Models: A Comprehensive Survey.
Awesome LLM Benchmarks to evaluate the LLMs across text, code, image, audio, video and more.
Unofficial re-implementation of "Trusting Your Evidence: Hallucinate Less with Context-aware Decoding"
Instructional learning for Aspect Based Sentiment Analysis [NAACL-2024]
Code and data for "KoDialogBench: Evaluating Conversational Understanding of Language Models with Korean Dialogue Benchmark" (LREC-COLING 2024)
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.