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UpstageAI
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A high-throughput and memory-efficient inference and serving engine for LLMs
A curated list of reinforcement learning with human feedback resources (continually updated)
Official repo for the paper "Scaling Synthetic Data Creation with 1,000,000,000 Personas"
Official repository for "Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing". Your efficient and high-quality synthetic data generation pipeline!
[NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't Know'"
Code for "Learning to summarize from human feedback"
A one-stop data processing system to make data higher-quality, juicier, and more digestible for (multimodal) LLMs! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷为大模型提供更高质量、更丰富、更易”消化“的数据!
The Universe of Data. All about data, data science, and data engineering
A list of awesome papers and resources of recommender system on large language model (LLM).
Corning AI : Multi-turn 대화가 가능한 RetrievalQA 챗봇 📖
Modeling, training, eval, and inference code for OLMo
추천시스템 주요 논문 리뷰 및 구현
DeepSeek Coder: Let the Code Write Itself
ToRA is a series of Tool-integrated Reasoning LLM Agents designed to solve challenging mathematical reasoning problems by interacting with tools [ICLR'24].
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficie…
⚡️ Implementation of TRON: Transformer Recommender using Optimized Negative-sampling, accepted at ACM RecSys 2023.
Example models using DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Seamlessly integrate LLMs into scikit-learn.