\ud83d\udcf0 Data + AI = ∞
資料科學家的工作日常 ❙ 維元資料科學與人工智慧領域的趨勢發展與所見所聞 \ud83d\udca5
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2025 年度回顧 - Data 與 AI 求職經驗談
嗨，你好，我是維元 👋 我會持續分享我在資料科學與人工智慧領域所觀察到的趨勢與所見所聞 💥
EP01：聊聊我的數據職涯十年成長之路 🏃 | Learn & Share in Public
嗨，你好，我是維元 👋 我會持續分享我在資料科學與人工智慧領域所觀察到的趨勢與所見所聞 💥 如果你最近比較少在社群看到我，那不是你錯覺，而是我真的停下來了一段時間。
當 AI 進入大廠的軍備競賽，普通人該怎麼選擇賽道？
嗨，你好，我是維元 👋 我會持續分享我在資料科學與人工智慧領域所觀察到的趨勢與所見所聞 💥 大型語言模型的快速更新，你也有感受到一種「軍備競賽」的氛圍嗎？
為 LLM 接上外掛 - 常見的 RAG 變形與優化策略
嗨，你好，我是維元 👋 我會持續分享我在資料科學與人工智慧領域所觀察到的趨勢與所見所聞 💥 模型越來越強，但真正能不能落地，反而不是看模型本身，而是看「你能不能讓它用到對的資訊」。而這正是 RAG（Retrieval-Augmented Generation）存在的理由。
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Authors
The writers behind this newsletter.
擅長網站開發與資料科學的雙棲工程師，熟悉的語言是 Python 跟 JavaScript。同時經營資料科學家的工作日常 Facebook 粉專 與 Instagram 社群，擁有多次國內大型技術會議講者經驗，持續在不同的平台發表對 #資料科學、 #網頁開發 或 #軟體職涯 相關的分享。
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