🧠 This guide nails the difference between how you ask (style) and what you ask (type). As a full-stack dev working with LLMs in real-world apps, I’ve found that prompt structure is half the battle, especially when switching between models like FLAN-T5, LLaMA-2, and ChatML.
The food analogy is spot-on. I often explain it to my Bangla-speaking audience like this: আপনি কীভাবে বলছেন (style) আর কী বলছেন (type) এই দুইটা ঠিক থাকলে AI আপনার কথা শুনবে। (If you get both how you speak and what you say right, the AI will listen.)
Also love the inclusion of Chain-of-Thought and Self-Consistency they’ve been game-changers for debugging and multi-step reasoning in my FastAPI workflows.
🧠 This guide nails the difference between how you ask (style) and what you ask (type). As a full-stack dev working with LLMs in real-world apps, I’ve found that prompt structure is half the battle, especially when switching between models like FLAN-T5, LLaMA-2, and ChatML. The food analogy is spot-on. I often explain it to my Bangla-speaking audience like this: আপনি কীভাবে বলছেন (style) আর কী বলছেন (type) এই দুইটা ঠিক থাকলে AI আপনার কথা শুনবে। (If you get both how you speak and what you say right, the AI will listen.) Also love the inclusion of Chain-of-Thought and Self-Consistency they’ve been game-changers for debugging and multi-step reasoning in my FastAPI workflows.