Mi&Bee Blog
中文

AI & Tools

From Prompts to Context: Why Clear Instructions Alone Are Not Enough

A Frustrating Scenario Imagine this situation: you’re writing a perfect prompt about “the latest best practices for Python MySQL connections.” You carefully design a persona (“You are a Python database expert with 10 years of experience”), clear instructions (“Only provide 2024 best practices, no deprecated methods”), and specific format requirements (“List main approaches, pros/cons, code examples, security considerations”). This prompt is flawless. Yet, GPT confidently gives you code using 2018-deprecated methods with security vulnerabilities. Why?

Continue reading →

Prompt Engineering: Learning to Talk to AI Is Lesson One

What is Prompt Engineering? The core definition of Prompt Engineering is: Designing natural language inputs to guide Large Language Model outputs toward specific results. This concept seems simple, but it hides a profound assumption: The same model, different prompts → completely different outputs. Imagine you have an incredibly smart assistant with zero background knowledge. This assistant can perfectly understand and execute any instruction, but it lacks prior knowledge and has no memory. Prompt engineering is the art of learning how to converse with such an assistant.

Continue reading →