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Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.
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
A comprehensive guide to building RAG-based LLM applications for production.
Synthetic data curation for post-training and structured data extraction
DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models. 🤖💤
Magick is a cutting-edge toolkit for a new kind of AI builder. Make Magick with us!
🏗️ Fine-tune, build, and deploy open-source LLMs easily!
Humanable Chat Generative-model Fine-tuning | LLM微调
M-Courtyard: Local AI Model Fine-tuning Assistant for Apple Silicon. Zero-code, zero-cloud, privacy-first desktop app powered by Tauri + React + mlx-lm.
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
OpenCLAW SEED — Autonomous self-evolving research agent with LoRA fine-tuning. Part of P2PCLAW ecosystem. Trains itself on research papers, improves over time. Apache 2.0.
CLI & MCP server for Tuning Engines — fine-tune LLMs on code repositories