Add comprehensive fine-tuning plan for gpt-oss-20b wiki agent #8
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This adds detailed planning documents for fine-tuning OpenAI's gpt-oss-20b to become a specialized architectural wiki agent for SemanticWiki local mode. Documents include: - Dataset preparation: CodeWikiBench, DeepWiki, synthetic data generation - Fine-tuning execution: LoRA config, hyperparameters, training scripts - Evaluation: automated metrics, CodeWikiBench, task-specific evals Target improvements over base model: - Source traceability: 50% → 90%+ - Mermaid diagram validity: 70% → 95%+ - Wiki completeness: 60% → 90%+
Adds QUICK-START.md with a minimal 3-4 hour plan: - Uses only CodeWikiBench (no crawling/synthetic gen) - Single epoch LoRA training - Simple test script to verify output - Cloud GPU options for those without local hardware
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This adds detailed planning documents for fine-tuning OpenAI's gpt-oss-20b
to become a specialized architectural wiki agent for SemanticWiki local mode.
Documents include:
Target improvements over base model: