Orientation
Start with the question, not the tool.
Use these paths to move from a clear mental model to a responsible implementation decision.
Learn the foundations
Understand the terms, model families, evaluation limits, and historical context before making a product or career decision.
Build and evaluate
Move into retrieval, prompting, deployment, testing, and model selection with practical boundaries around what each method can prove.
Work responsibly
Use the responsible-AI path for privacy, fairness, safety, human oversight, and domain-specific limitations.
Browse by audience
Professional practice is the primary audience. Career, implementation, and industry resources are separated so that broad educational pieces do not masquerade as specialist advice.