Bowen Chiu領域專家的知識傳承不能只有語音,對頂尖醫生做「多模態智慧遷移」領域專家的知識傳承,我們原本的智慧遷移,都是以錄音語音為主,但多模態的年代,如果訓練multi-agent只有聲音跟文字,遠遠不夠!Just nowJust now
Bowen Chiu拖拉波特流,一鍵編譯「孵波特人」轉為chainlit應用動機:打造 multi-agent 的 ui ux 一直都很複雜,因此我們發明了「波特流」這個簡單拖拉的系統,可以輕易打造multi-agent2d ago2d ago
Bowen ChiuRAG Plus 精準祕技,不是只切塊chunk,得切「上下文塊」https://www.anthropic.com/news/contextual-retrieval 🔍 提升模型知識的傳統方法:RAG2d ago2d ago
Bowen Chiulancedb隨機存取比parquet快兩千倍https://blog.lancedb.com/benchmarking-random-access-in-lance/4d ago4d ago
Bowen Chiu何時不應該用知識圖譜 GraphRAG?https://medium.com/towards-artificial-intelligence/when-not-to-use-graphrag-02a80d77fcbf4d ago4d ago
Bowen Chiu👋 再見,Text2SQL:為何表格增強生成(TAG)是AI數據查詢趨勢!https://medium.com/ai-in-plain-english/goodbye-text2sql-why-table-augmented-generation-tag-is-the-future-of-ai-driven-data-queries-892e24e06…4d ago4d ago
Bowen Chiu為什麼只用基礎RAG(無索引)是一個大錯特錯的決定https://medium.com/towards-data-science/multi-rep-colbert-retrieval-models-for-rags-fe05381b88194d ago4d ago