Editor's Synopsis
This guide from Prompt Engineering Guide outlines foundational tips for designing effective prompts for large language models. It emphasizes starting simple and iterating incrementally, treating prompt design as an experimental process where complexity is added gradually. The guide recommends using clear command verbs like "Write," "Classify," or "Summarize" and separating instructions from context with delimiters like "###" for clarity.
A central theme is the importance of specificity over vagueness — rather than asking for "a short explanation," a well-crafted prompt specifies the exact length, audience, and format desired. The guide also addresses the common pitfall of telling models what not to do, demonstrating through a movie recommendation chatbot example that positive instructions (stating what the model should do) produce far better results than negative constraints. Each tip is illustrated with concrete before-and-after prompt examples, making the advice immediately actionable for practitioners at any level.