fine-tuning

A simple, performant, and scalable Jax LLM!

Mastering Applied AI, One Concept at a Time

Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.

Distributed AI Model Training and LLM Fine-Tuning on Kubernetes

Your Automatic Prompt Engineering Assistant for GenAI Applications

Developer Asset Hub for NVIDIA Nemotron — A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end reference examples to build with Nemotron models

A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL

Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion (CVPR 2023)

[ICLR 2025] LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs

A comprehensive guide to building RAG-based LLM applications for production.

Ultrafast serverless GPU inference, sandboxes, and background jobs

Scalable data pre processing and curation toolkit for LLMs

Synthetic data curation for post-training and structured data extraction

Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts

Research of DeepSeek Engram Architecture based on Qwen-3 and Stable Diffusion series.

Hypernetworks that adapt LLMs for specific benchmark tasks using only textual task description as the input

The official implementation of Self-Play Fine-Tuning (SPIN)

Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"

DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models.   🤖💤

Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo

[TPAMI 2023] LibFewShot: A Comprehensive Library for Few-shot Learning.

从 NLP 到 LLM 的算法全栈教程，在线阅读地址：https://datawhalechina.github.io/base-llm/

A complete guide to start and improve your LLM skills in 2026 with little background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

Resource, examples & tutorials for multimodal AI, RAG and agents using vector search and LLMs

Generate High-Quality Synthetics, Train, Measure, and Evaluate in a Single Pipeline

Toolkit for fine-tuning, ablating and unit-testing open-source LLMs.

Official repository of my book "A Hands-On Guide to Fine-Tuning LLMs with PyTorch and Hugging Face"

Magick is a cutting-edge toolkit for a new kind of AI builder. Make Magick with us!

The most easy-to-understand tutorial for using LoRA (Low-Rank Adaptation) within diffusers framework for AI Generation Researchers🔥