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刘年丰：最本质的原因就是因为，我们现在具身模型主流使用的VLA，是沿袭的动态模型沿袭了大语言模型——对整张图片做全局信息映射。。91视频对此有专业解读
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。关于这个话题，51吃瓜提供了深入分析
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?
构建工具的演进从Webpack到Vite，反映了开发者对开发体验的不断追求。。WPS下载最新地址对此有专业解读