fine-tuning

Your Automatic Prompt Engineering Assistant for GenAI Applications

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)

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 JAX research toolkit for building, editing, and visualizing neural networks.

[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

:dart: Task-oriented embedding tuning for BERT, CLIP, etc.

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"

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

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/