data-ai-post-training-expert
CommunityMaster post-training for model adaptation.
Authorscanady
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Post-Training Expert helps ML teams design and implement post-training workflows to improve alignment, efficiency, and deployment readiness across SFT, PEFT, RLHF, distillation, and packaging scenarios.
Core Features & Use Cases
- Supports supervised fine-tuning (SFT), LoRA/QLoRA/PEFT, DPO/ORPO/PPO/GRPO, reward-model workflows, and judge-model setups.
- Guides dataset preparation, adapter merging, model compression, quantization, and deployment packaging for production serving.
- Use cases include designing post-training strategies for base models to improve instruction-following within constrained compute budgets and deployment requirements.
Quick Start
Outline a post-training plan for a base LLM to improve instruction-following within a 2x budget.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: data-ai-post-training-expert Download link: https://github.com/scanady/nexus-agents/archive/main.zip#data-ai-post-training-expert Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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