In this session, @erictang000, Software Engineer at Anyscale, will walk through:
This is a dev post classified by AGK Intelligence as AI dev tools (a free resource), kept by the Dev Radar because it carries real work, not commentary.
In this session, @erictang000, Software Engineer at Anyscale, will walk through: - Intro to LLM post-training - Intro to RLVR (with GRPO) - Recent development of LLM post-training: - On-policy distillation (OPD) and Multi-teacher On-policy distillation (MOPD) - Case study: Post-training a terminal agent - Building evals - Building custom environments - RL systems - Demo walkthrough - Intro to SkyRL - Full Async RL with SkyRL - Performance monitoring and tuning for RL rollouts Register: https://na2.hubs.ly/H08wNDx0
Posted by Anyscale (13.6k followers) 3 h ago · 2 likes · 164 views · view the original post on X. Kept by the Dev Radar as AI dev tools.
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