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?
# OPENAI_API_KEY = "sk-..."
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陆逸轩得知自己获得第一名的瞬间。图丨© Krzysztof Szlezak
面对来自德国的外甥和镜头，大舅无所顾忌，他直言财产当年被掠夺。但他谈论战争本身甚少，弥漫于言谈间的，多是家庭创痛。。关于这个话题，WPS官方版本下载提供了深入分析
这是月之暗面“模型即Agent”的逻辑。目前，绝大多数Agent产品的智能上限仍由模型能力决定，只有拥有强大、可控、具有上下文和复杂推理能力的自研基座模型，才能支撑起用户理想中的“Agent”，而这也更符合Kimi长期聚焦长文本的优势。
The 34-year-old, from Manchester, creates sculptures out of factory waste as part of her work as artist-in-residence with one of Lancashire's oldest manufacturing companies.，更多细节参见safew官方下载