數據科學家眼中的 AI：Claude 3.5、簡單理解模型 Benchmark、合憲 AI & 語言模型必含的偏見？

PowerArena 資料科學家洪識濬 Mike 深入探討了大型語言模型 (LLM) 和 AI。他分析了近期釋出的 Claude 3.5 的表現，從使用者的角度解釋我們應該如何理解語言模型，並探討 AI 中無法避免的偏見問題。Mike 也分享了他對於個人在這個快速變化的 AI 時代，如何自我適應、順應成長。
精彩時刻
-00:32 Antropic Claude 3.5 表現怎麼理解？
-06:23 使用者視角下的語言模型運用
-08:26 為什麽語言模型必定含有偏見？Constitutional AI（合憲 AI）是什麼？有幫助嗎？
-16:31 AI 浪潮下的個體應對之道
PowerArena Website: www.powerarena...
LinkedIn: / powerarena
PowerArena’s Data Scientist, Mike Hung, dives into the fascinating world of LLM (large language models) and AI. He discusses the performance of the recently released Claude 3.5, how we should understand language models from a user’s perspective, and explores the inevitable biases in AI systems. Mike also offers his insights on how individuals should navigate this rapidly evolving AI landscape.
Highlights
-00:32 How to understand the performance of Anthropic Claude 3.5?
-06:23 LLM applications from a user's perspective
-08:26 Why are language models inherently biased? What is Constitutional AI, and does it help?
-16:31 How individuals can adapt in the AI era?
PowerArena Website: www.powerarena...
LinkedIn: / powerarena
#llm #claude3.5 #anthropic #openai #constitutionalai #ai #aivision #smartmanufacturing #industry40