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grpo-rl-training

/home/smlflg/.hermes/profiles/smk/skills/mlops/training/grpo-rl-training

Tech: docs/notes · Score: 31 · Risk: low · Dirty: unknown

Systembild

Originale IdeeProblem sichtbar machenBuild-SpurenGit · README · Pläne · TODOsHeutiger WertWeiterbauen oder archivierenOffener Loop: Abschlussartefakt → Verifier → Issue/Handoff

Was war die Idee?

GRPO/RL Training Skill **Expert-level guidance for Group Relative Policy Optimization with TRL** 📁 Skill Structure ``` grpo-rl-training/ ├── SKILL.md Main skill documentation (READ THIS FIRST

Warum angefangen?

Gestartet, um wiederholte Arbeit zu operationalisieren: Kontext sammeln, Entscheidungen sichtbar machen und Agentenarbeit prüfbar machen.

Warum nicht fertig?

Nicht fertig, weil Abschluss-Signale fehlen: 17 TODO/FIXME-Hinweise

Was ist heute wertvoll?

Heute wertvoll als Agent-Control-System, dokumentierte Absicht

Evidence

Score-Reasons

  • 17 TODO/FIXME/WIP hints
  • README present

TODO/FIXME-Auszug

  • /home/smlflg/.hermes/profiles/smk/skills/mlops/training/grpo-rl-training/SKILL.md:489 — - [ ] Validate dataset format (prompts as List[Dict])
  • /home/smlflg/.hermes/profiles/smk/skills/mlops/training/grpo-rl-training/SKILL.md:490 — - [ ] Test reward functions on sample data
  • /home/smlflg/.hermes/profiles/smk/skills/mlops/training/grpo-rl-training/SKILL.md:491 — - [ ] Calculate expected max_prompt_length from data
  • /home/smlflg/.hermes/profiles/smk/skills/mlops/training/grpo-rl-training/SKILL.md:492 — - [ ] Choose appropriate num_generations based on GPU memory
  • /home/smlflg/.hermes/profiles/smk/skills/mlops/training/grpo-rl-training/SKILL.md:493 — - [ ] Set up logging (wandb recommended)
  • /home/smlflg/.hermes/profiles/smk/skills/mlops/training/grpo-rl-training/SKILL.md:496 — - [ ] Monitor reward progression (should increase)

Storyboard: grpo-rl-training-75da1497b4.md · Video: grpo-rl-training-75da1497b4.mp4