Next-Gen AI Training: LLM-RLHF-Tuning with PPO and DPO
In plain words
Next-Gen AI Training is an open-source toolkit for fine-tuning large language models using reinforcement learning from human feedback methods. It implements PPO (Proximal Policy Optimization) and DPO (Direct Preference Optimization) algorithms. The tool is designed for machine learning engineers and researchers who want to optimize LLM behavior based on human preferences. It provides practical implementations of advanced training techniques typically used in production model development.
written from the facts on this page · September 2026
Does the same job
all alternatives →
Predibase Reinforcement Fine-Tuning2025 · ▲175LLM reinforcement fine-tuning platform to improve LLM output
- LFLlamaGym – fine-tune LLM agents with online reinforcement learning2024 · github.com · ▲239
- MLMinimal LLM Post-Training Experiments on an 8GB GPU (SFT, DPO, GRPO)Aug 2026 · github.com · ▲21
- IRI RL-trained an agent that trains models with RL (for ~$1.3k)Jul 2026 · github.com · ▲107
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, March 2024
the whole month →
- 3Y
Life & fun · 2024 · github.com
Microlaunch▲1,116Launch and get feedback on both the idea and product
Dev tools · 2024 · microlaunch.net
