owners and digital marketers improve their search engine optimization (SEO)
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?
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愿你们的好奇心,成为这段旅程的燃料。愿它为你们带来源源不断的探索、激动与满足。
與葡萄牙語一樣,我每天要完成四個簡短的任務與測驗;但這次我需要將 12 個完全聽不懂的聲音,配對到 12 個從未見過的物體圖片上。後來我才得知,這些物體與詞彙都不是真實存在的。我口中念出的其實是中文的聲調,而聲調是中文的重要特徵:不同聲調會改變一個詞的意思。