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This repository contains some of the most influential papers of on the RLHF technique of fine-tuning LLMs.
Find secrets with Gitleaks ?
本项目旨在分享大模型相关技术原理以及实战经验(大模型工程化、大模型应用落地)
Efficient Triton Kernels for LLM Training
An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)
H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/
Code examples and resources for DBRX, a large language model developed by Databricks
dstack is a lightweight, open-source alternative to Kubernetes & Slurm, simplifying AI container orchestration with multi-cloud & on-prem support. It natively supports NVIDIA, AMD, TPU, and Intel accelerators.
MoBA: Mixture of Block Attention for Long-Context LLMs
DLRover: An Automatic Distributed Deep Learning System
The world's smartest system-wide grammar assistant; a better version of the Apple Intelligence Writing Tools. Works on Windows, Linux, & macOS, with the free Gemini API, local LLMs, & more.