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?
默茨表示，很高兴在中国农历马年春节之际，携重量级企业家代表团访华，这充分表明德方对深化德中经贸关系的高度重视和期待。德中两国相距遥远，但经济联系紧密，合作潜力巨大。德方愿本着坦诚开放精神，同中方加强高层交往，保持各领域常态化对话，推动双边经贸关系均衡、持续发展，促进绿色转型、应对气候变化等领域合作。德方愿同中方加强沟通协调，共同倡导多边主义和自由贸易。德方愿为推进欧中关系发展发挥积极作用。
。夫子对此有专业解读
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