Summary
There is much to learn with prompt engineering, but it should be clear why these instructions are essential to give models context, direction, guidance, and style. This process is an emerging art, as only some things can be easily explained. This chapter covered examples of prompt engineering well-grounded in scientific exploration, even if the topic is less than deterministic, such as emotive prompting.
Contribute to the process by helping to define and improve these task flows through use case expertise, creating, verifying, and editing prompts, testing various prompts, and monitoring whether changes move the solutions in the right direction. Go forth and prompt!
With the basics of prompt engineering, Chapter 8, Fine-Tuning, can fill in some gaps and add a cost-effective and accurate method for teaching the model more refined responses when it encounters specific tasks.
