Prompt engineering is the practice of structuring instructions and context so an AI model can produce more useful outputs. Specify the task, audience, source material, constraints, format and evaluation criteria. Test prompts against representative examples and verify important o
RAG combines a language model with retrieval from a selected knowledge source. A typical system retrieves relevant passages and provides them as context for an answer. Quality depends on document preparation, chunking, retrieval, permissions, source citations and evaluation—not j
Start with a specific user problem and define how success will be measured. Evaluate whether AI is needed, identify data and privacy constraints, prototype the workflow, test edge cases, set quality thresholds and plan monitoring, cost controls, security and human escalation befo
Prompt engineering is the practice of structuring instructions and context so an AI model can produce more useful outputs. Specify the task, audience, source material, constraints, format and evaluation criteria. Test prompts against representative examples and verify important o
RAG combines a language model with retrieval from a selected knowledge source. A typical system retrieves relevant passages and provides them as context for an answer. Quality depends on document preparation, chunking, retrieval, permissions, source citations and evaluation—not j
Start with a specific user problem and define how success will be measured. Evaluate whether AI is needed, identify data and privacy constraints, prototype the workflow, test edge cases, set quality thresholds and plan monitoring, cost controls, security and human escalation befo