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?
BuildKit’s design is clean and surprisingly understandable once you see the layers. There are three key concepts.
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除此之外，崔元俊甚至半开玩笑地说：「作为研发主管，最初这根本不是我想做的项目。」 对于未来，他直接交底：内部正在怀疑是否该开发下一代，目前还没有推出新款的决定。。同城约会对此有专业解读
The wet winter of 2024 – the second wettest on record – saw the sector experience £1bn losses from damaged crops.，更多细节参见夫子