update-model-research

To keep local model prompt documentation updated with Ollama version changes, automate the synchronization of version references, open issues, and community findings into your docs/local-model-prompt-techniques.md file. This ensures client-facing guidance stays accurate across all active model families defined in your configuration map.

Tracking community findings and citations for local model prompts involves aggregating version notes and open issues across active model families, then generating delta-ready documentation changes. This process enforces provenance and produces per-model option recommendations suitable for parameter defaults workflows.

Yes, you can automate prompt technique versioning across multiple Ollama model families by reading active models from config/model-map.json and inventorying their references. The system generates delta-ready changes to update documentation with current version references and community findings.

Ollama model documentation updates do not require external dependencies, as the process relies solely on internal configuration files like config/model-map.json and docs/local-model-prompt-techniques.md. It aggregates version notes and community findings to generate client-actionable changes.

Local model prompt documentation goes out of sync with current model updates because new model families, version changes, and community findings continuously emerge without automated tracking. Manually updating version references and open issues across all active models leads to outdated guidance.

Generating per-model option recommendations for Ollama models requires defining active model families in config/model-map.json and updating docs/local-model-prompt-techniques.md. The output includes delta-ready changes with citations, enforcing client-actionability and provenance for parameter defaults.