Prompt engineering

Prompt engineering is the process of writing effective instructions for a GPT model, such that it consistently generates content that meets your requirements. Because the content generated from a model is non-deterministic, prompting to get your desired output is a mix of art and science. However, you can apply techniques and best practices to get good results consistently. GPT models like ChatGPT, for instance, benefit from precise instructions that explicitly provide the logic and data required to complete the task in the prompt. GPT-5 in particular is highly steerable and responsive to well-specified prompts. However, there’s much more to effective AI collaboration than a perfect prompt. Instead, it’s much more about workflow and conversation. Conversational prompting, then, is a technique that involves interacting with AI systems like ChatGPT in a natural, conversational way as if chatting with a human. That is, with conversational prompting, users simply describe what they want the AI to do rather than trying to craft complex prompts. It focuses on intuitive back-and-forth interactions to refine the results, provide additional context, and answer the AI's questions. The user guides the process while letting the AI handle the specifics of generating appropriate prompts and responses. It's fair to conclude that by balancing human ingenuity and machine intelligence, we can solve problems neither could alone  Selected sources:  https://platform.openai.com/docs/guides/prompt-engineering    https://promptengineering.org/conversational-prompting-in-generative-ai/