KURE: 고려대학교에서 개발한, 한국어 검색에 특화된 임베딩 모델

Learn how to use the Cognitive Services Python SDK with these samples

Lab files for AI-102 - AI Engineer

Official inference framework for 1-bit LLMs

MTEB: Massive Text Embedding Benchmark

Retrieval and Retrieval-augmented LLMs

AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation

Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

A curated list of awesome open-source libraries for production LLM

Kor-IR: Korean Information Retrieval Benchmark

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

A framework for few-shot evaluation of language models.

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

Go ahead and axolotl questions

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…

Evaluation software used in the Text Retrieval Conference

pytrec_eval is an Information Retrieval evaluation tool for Python, based on the popular trec_eval.

The official Meta Llama 3 GitHub site

Qwen2.5 is the large language model series developed by Qwen team, Alibaba Cloud.

Make huge neural nets fit in memory

The Universe of Data. All about data, data science, and data engineering

A large-scale multilingual dataset for Information Retrieval. Thorough human-annotations across 18 diverse languages.

Train transformer language models with reinforcement learning.

JVector: the most advanced embedded vector search engine

The official PyTorch implementation of Google's Gemma models

Generative Representational Instruction Tuning

Run Effective Large Batch Contrastive Learning Beyond GPU/TPU Memory Constraint