Expert guidance for GRPO/RL fine-tuning with TRL for reasoning and task-specific model training
Expert guidance for GRPO/RL fine-tuning with TRL for reasoning and task-specific model training
使用TRL进行推理和任务特定模型训练的GRPO/RL微调专家指导
Category: developer (开发工具) · Author: davila7 · Version: @main · License: MIT
Tags: Post-Training, Reinforcement Learning, GRPO, TRL, RLHF, Reward Modeling, Reasoning, DPO, PPO, Structured Output
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Search for places (restaurants, cafes, etc.) via Google Places API proxy on localhost.
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Start voice calls via the OpenClaw voice-call plugin.
Notion API for creating and managing pages, databases, and blocks.
Gemini CLI for one-shot Q&A, summaries, and generation.
Category:developer
Tags:Post-Training, Reinforcement Learning, GRPO, TRL, RLHF, Reward Modeling, Reasoning, DPO, PPO, Structured Output