GOTO - The Brightest Minds in Tech Prompt Engineering for Generative AI • James Phoenix, Mike Taylor & Phil Winder
14 snips
Aug 1, 2025 
In this engaging discussion, James Phoenix, a software engineer and indie hacker, and Mike Taylor, an expert in prompt engineering since 2020, dive into the intriguing world of generative AI. They explore the evolution and importance of prompt engineering for leveraging large language models. Topics include the five core principles of effective prompting, the balance between specificity and creativity, and advanced query handling techniques. Their insights reveal how AI can transform workflows and the challenges of bridging technical understanding for all audiences.
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Prompt Engineering Is Rigorous Science
- Prompt engineering is a rigorous process of testing inputs to find the best outputs in AI applications.
- Precision in prompts greatly improves response accuracy and reliability beyond casual use.
Define Goals and Metrics Clearly
- Define clear goals and set up programmatic evaluation metrics for your AI tasks.
- Without automated evaluation, prompt engineering is limited and demands constant human validation.
Prompt Engineering Is New Programming
- Treat prompt engineering like programming with scientific rigor, especially if you're technical.
- For non-technical users, optimize prompts by enriching context to get better results.
