Find below the strategies useful for getting better results when using GenerativeAI tools like ChatGPT or Bard.
Clarity is Key:
Articulate your desired output length (e.g., "Provide a brief summary." or "Offer an in-depth analysis.").
Specify the desired complexity level (e.g., "Write in a simple, conversational style." or "Use expert-level language.").
Demonstrate the preferred format using examples (e.g., "Structure the response as a list of bullet points." or "Write a formal essay.").
Knowledge is Power:
Supplement prompts with relevant reference text, especially for specialized topics or when seeking citations. This provides a knowledge base, reducing the likelihood of fabricated information.
Divide and Conquer:
Break down complex tasks into smaller, more manageable subtasks. This modular approach mirrors effective software engineering practices and can significantly enhance accuracy.
Allow Time for Thought:
Just as humans require time to process information and formulate responses, so do language models. Requesting a "chain of thought" before the final answer can foster more reliable reasoning.
Strength in Diversity:
Integrate external tools to compensate for model limitations. Text retrieval systems provide access to relevant documents, while code execution engines enable model capabilities in math and programming.
Measure for Success:
Systematically test and evaluate prompt modifications to ensure consistent performance improvements. A comprehensive test suite, or "eval," helps identify net positive changes across a diverse set of examples.
By following these guidelines, you'll empower AI language models to deliver exceptional results that precisely align with your expectations. Unleash their full potential, and witness the transformative power of effective communication.
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