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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它的核心创新，不是单纯让 AI 做事，而是把 AI Agent 融入你已经在用的消息界面，全天候在线、本地运行、跨对话保持记忆，让与 AI 的协作像给同事发微信一样自然。，推荐阅读Line官方版本下载获取更多信息
麥克斯韋則在郵件中說班德是個「超級猛男」，她「迷戀」他，說他「像一匹馬」。