
Unified Health Aid Podcast
A study guide for Lee Boonstra's Prompt Engineering white paper
<p>What is Prompt Engineering?</p><p>* Crafting effective prompts to guide Large Language Models (LLMs) toward accurate, useful outputs.</p><p>* It's iterative: experimenting, evaluating, and refining prompts is crucial.</p><p>Key Elements of Effective Prompt Engineering</p><p>1. LLM Output Configuration</p><p>Configure the model settings effectively:</p><p>* Output Length: More tokens = higher cost and latency.</p><p>* Temperature: Controls randomness.</p><p>* Lower temperatures (0.0 - 0.3) β More deterministic and focused results.</p><p>* Higher temperatures (>0.7) β More creative and varied outputs.</p><p>* Top-K: Limits sampling to the K highest-probability tokens.</p><p>* Top-P (nucleus sampling): Samp...






