場次內容
Outline - LLMs are everywhere. Almost every person reading this has used ChatGPT, Gemini, Claude, Perplexity, or DeepSeek to edit their work, generate code, act as a therapist, give feedback on an idea, or create entire homework assignments. LLMs have a lot of benefits when it comes to speed, efficiency, and following general writing conventions. But as you also know, LLMs come with huge drawbacks. There are ethical considerations, information hallucinations, poor writing quality, and more. On top of that, studies have recently come out showing longterm effects in the minds of people who use them. There's a lot to worry about!
In this lecture, we'll discuss the pitfalls of using LLMs, and how you can adapt to minimize their damage. This includes thinking about which situations LLMs work best and which they don't, how to let LLMs be a good editor for you but also how to be a good editor for them, and what to watch out for each time you type in a prompt. In the end, LLMs are one of many tools you can use to help your writing. They're especially great for working in your non-native language. But like any other tool, it doesn't fit every situation, and you have to learn to use it before you can use it well. After this lecture, you'll be a big step closer to that goal.
LLMs（大型語言模型）無所不在，如 ChatGPT、Gemini、Claude、Perplexity、DeepSeek 已深植於日常寫作、編輯、程式生成與學習中。它們提升效率、速度，並能遵循基本寫作規範，但同時也伴隨倫理問題、錯誤資訊（幻覺現象）、寫作品質不穩定，甚至可能影響長期思維模式。
本講座將探討 LLMs 的使用弊病與調適策略，包括：
• LLMs 的適用與不適用場景
• 如何讓 LLMs 成為你的助力，而非阻力
• 如何提升審查與提示詞（Prompt）設計能力
LLMs 是強大但非萬能的工具，學會正確使用才能真正發揮其價值。參加講座，幫助你更有效地駕馭 LLMs，提升寫作與思辨能力！
