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Found 2 Skills
Provides guidance for LLM post-training with RL using slime, a Megatron+SGLang framework. Use when training GLM models, implementing custom data generation workflows, or needing tight Megatron-LM integration for RL scaling.
Plan Fireworks post-training from a task-shaped goal — recommend a method, cookbook entry, data plan, and eval from what the user already said, ask only decision-critical questions, and hand off to configure when ready to train. Use when the user describes a problem in plain language, is unsure which method or dataset fits, needs public dataset ideas, or wants to explore before committing. Read-only — does not create jobs or upload data. For explicit train requests with known model and data, use configure; for failures use debug.