How-toSelected11月5日 02:01

Anyscale 工程师直播讲解 LLM 后训练与 SkyRL 实战

Anyscale@anyscalecompute

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Why we picked it

Anyscale 的工程师手把手讲怎么用 GRPO 做强化学习训练，还带 SkyRL 框架实操和终端智能体案例，想自己动手训模型的别错过。

Anyscale 软件工程师 Eric Tang 将开设一场技术分享，内容涵盖 LLM 后训练基础与基于 GRPO 的 RLVR 训练方法。课程还介绍 On-policy Distillation（OPD）与 Multi-teacher On-policy Distillation（MOPD）等新进展，并以训练一个终端智能体为案例，覆盖评测构建、自定义环境与 RL 系统搭建。演示环节将介绍 SkyRL 框架的异步 RL 训练流程及 rollout 性能监控调优。

Original · Anyscale

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

#SkyRL #GRPO #RLVR #强化学习 #Anyscale

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