Effective prompting falls under four pillars: 1. Articulate your intent clearly using domain-specific language 2. Railroad the model into going where you want in conversation 3. Leverage the model's potential to be a universal translator of concepts and code 4. Read the outputs read the outputs holy shit just read the code the model generated But Taylor! This isn’t as fun as pasting the prompting hacks I found on Youtube for ‘best prompt chatgpt unlock creativity’. You are absolutely right. 1. Articulate your intent clearly using domain-specific language Plan the conversation before you start. What is your intent/task/question and what kind of clarifying inputs will get you closer to the answer? These models are probabilistic. Tighten the probability cone of the next turn's tokens by asking questions in a way where you expect the answer to be vaguely in the neighborhood you want. Don’t overfit your input.…