ModelRefs / AI Implementation Guides
AI Implementation Guides
Evidence-aware guides for model, provider, benchmark, workflow, architecture, and governance decisions.
Overview
ModelRefs' guides hub collects decision frameworks for common implementation choices — model selection, benchmark interpretation, workflow architecture, provider evaluation — rather than promotional or generic AI content aimed at driving a single recommendation.
Use a guide to structure your own evaluation: identify the criteria that matter for your constraints, compare a small candidate set against those criteria, and confirm time-sensitive assumptions against current sources before committing to an approach.
Guides provide a starting framework, not a guaranteed outcome. Examples, criteria weightings, and candidate lists should be adapted to your own workload, and details like pricing, availability, or benchmark protocol need direct verification since they change over time.
All guides (15)
Every published guide, including the decision guides nested under each area.
- AI Architecture
- Benchmark Interpretation
- Choose A Model FOR Agents
- Choose AI Model FOR RAG
- Choose Managed API OR Self Hosted
- Compare AI Providers
- Design Enterprise RAG Workflow
- Evaluate AI Model Quality
- Fine Tuning vs RAG
- Fine Tuning vs RAG vs Long Context
- Governance
- Interpret AI Benchmarks
- Model Selection
- Provider Selection
- Workflow Implementation
Continue your research
Use these connected ModelRefs sections to compare alternatives, inspect implementation paths, and review the evidence and governance boundaries relevant to AI Implementation Guides.