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一群研究人員決定測試「正向思考」是否能提高人工智慧(AI)聊天機器人的準確率,結果卻出乎意料。他們向不同的聊天機器人提問,嘗試稱讚它們「聰明」,鼓勵它們認真思考,甚至​​在問題結尾加上一句「這會很有趣!」。然而,這些方法都沒有產生一致的效果,但其中一種方法脫穎而出。當他們讓AI假裝自己身處《星際迷航》場景,它的基礎數學能力竟然有所提升。看來,它真的能把我傳送上去。

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As a data scientist, I’ve been frustrated that there haven’t been any impactful new Python data science tools released in the past few years other than polars. Unsurprisingly, research into AI and LLMs has subsumed traditional DS research, where developments such as text embeddings have had extremely valuable gains for typical data science natural language processing tasks. The traditional machine learning algorithms are still valuable, but no one has invented Gradient Boosted Decision Trees 2: Electric Boogaloo. Additionally, as a data scientist in San Francisco I am legally required to use a MacBook, but there haven’t been data science utilities that actually use the GPU in an Apple Silicon MacBook as they don’t support its Metal API; data science tooling is exclusively in CUDA for NVIDIA GPUs. What if agents could now port these algorithms to a) run on Rust with Python bindings for its speed benefits and b) run on GPUs without complex dependencies?。业内人士推荐WPS下载最新地址作为进阶阅读

Екатерина Щербакова (ночной линейный редактор)

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