Editing Openai/6939b23e-87cc-8001-bdd9-9546d1143ce9 (section)

==== 1. Prompt engineering - Give very explicit instructions, structured templates, and examples. - Specify what counts as missing information and how the model should handle it. - Few-shot examples are crucial to guide multi-step reasoning. ====
# Context / external memory - Feed in all relevant information beforehand or incrementally between tokens (simulating “mid-thought updates”). - Structured context (tables, tags) helps the model map inputs to outputs reliably.
# Model parameters - Temperature → controls creativity vs determinism. Low temperature = more predictable output. - Top-p / nucleus sampling → controls token diversity. - Max tokens / context window → ensures the model can handle all information you feed it.
# Structured input/output - Limit scope: generate only one table row or one cell at a time if needed. - Enforce rigid formats to avoid hallucinations.
# Iteration & orchestration - Divide complex tasks into smaller chunks. - Use an orchestrator to provide missing info, validate outputs, and re-feed corrected context.