Hugging Face publishes the ultimate guide to multi-harness RL
Saboo_Shubham_ · x · 2026-10-02
Hugging Face has released an official guide to multi-harness RL, aimed at researchers and engineers training or evaluating models across multiple evaluation harnesses. Shared by Saboo Shubham as a must-read.
More from Research
- Memorizon trains streaming world models beyond context window with only 12% step-time overhead — MBZUAI-IFM · 2026-10-02
- Morgan Stanley's Parallel Power Tempering sampling rivals RL post-training without weight updates — morganstanley · 2026-10-02
- KaliBench: 8,504 pairs benchmark shows no open-weight LLM exceeds 42% on Kali Linux CLI tasks — RISys-Lab · 2026-10-02
- DataMagic: multi-agent system turns raw data into data videos, +83% quality, 79.7% faster — Yupeng Xie · 2026-10-02
- Six Coding Agents, One Repo: Isolated Runs All Broke, Chatting Agents All Passed — jokiruiz · 2026-10-02
- Open lab: does a cheap decision model keep parallel coding agents from colliding? — jokiruiz · 2026-10-02