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machine learning

2 minute read

一個多禮拜前,Andrej Karpathy 發佈了一則 tweet,
它的開頭是這麼寫的:



The ongoing consolidation in AI is incredible.

When I started ~decade ago vision, speech, natural language, reinforcement learning, etc. were completely separate;
You couldn’t read papers across areas - the approaches were completely different, often not even ML based.
~tweet



AI,正在朝向一個大一統的方向前進。


大約十多年前,當我開始投入做研究時,
電腦視覺,電腦語音,自然語言,強化學習…等這些領域,
還處於彼此很不一樣的時候。
就是說,你不太容易讀到同時跨這些領域的研究論文。
大部分的時候,每個領域的研究人員提出來的研究方法與演算法,都非常不同。
而且,也幾乎很少有基於幾器學習的研究論文被應用在這些領域。

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