Next-Gen AI Training
LLM-RLHF-Tuning with PPO and DPO. Comprehensive toolkit for Reinforcement Learning from Human Feedback (RLHF) training, featuring instruction fine-tuning, reward model training, and support for PPO and DPO algorithms with various configurations for the Transformer 5 models including Qwen 3.0.
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github.coma new open-source RL framework for training agents
LLM fine-tuning SDK and would love your feedback
docs.luminolabs.aiWelcome to Lumino AI, a cutting-edge fine-tuning platform that empowers you to customize open-source large language models to suit your specific needs. Whether you’re an AI researcher, developer, or enthusiast, Lumino AI provides the tools and infrastructure to make fine-tuning efficient, scalable, and user-friendly.
RL Agent that can auto-optimize your LLM prompts
nomadic-ml.github.ioAlong with my team, I've developed a reinforcement learning system that automatically optimizes LLM prompts, complete with a visualization feature to track both prompt structure and learning progress over time.
Free Inference Engineer and Model Training Roadmap
inferquest.orgFree, gamified roadmaps for LLM engineering: an Inference Engineering path (KV caches, CUDA kernels, production vLLM serving) and a Model Training path (pretraining on a budget, scaling laws, SFT/DPO/GRPO) — 185 tasks with auto-verified milestones instead of a paper certificate.
Autonomously train research-agent LLMs on custom data using reinforcement learning and self-verification.