Custom-built GPTs can be powerful tools for enhancing any workflow, but they necessitate well-crafted instructions to perform as desired. In this post, we walk through six strategies, each with practical tips, designed to help you utilize these models more effectively; sourced from OpenAI's excellent piece on prompt engineering.
The precision of your instructions dramatically impacts the quality of the model's responses.
Tip: Include Details in Your Query
Tip: Ask the Model to Adopt a Persona
Tip: Use Delimiters for Distinct Parts
Tip: Specify Steps for Task Completion
Tip: Provide Examples
Tip: Specify Desired Output Length
Combat the model's tendency to fabricate answers by supplying reference material.
Tip: Answer Using Reference Text
Answer with Citations from Reference Text
Breaking down tasks can reduce error rates and enhance clarity.
Tip: Use Intent Classification
Summarize Long Documents Piecewise
Encouraging the model to deliberate can lead to more accurate answers.
Tip: Work Out Solutions Before Concluding
Upload any documents in the knowledge base or use the added capabilites by enabling we-browsing, Dall-E, code interpreter.
Tip: Upload Documents of Best Practices or Your Company Specifications
Consistent testing ensures that modifications truly enhance performance.
Tip: Evaluate with Gold-Standard Answers
In summary, these strategies and tactics offer a structured approach to interacting with GPT models. By refining the way we pose questions and structure tasks, we can harness the full potential of these powerful tools.