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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Meta 正式与谷歌达成了一项价值数十亿美元的多年期协议，将通过谷歌云平台大规模租赁张量处理单元（TPU），用于其下一代大语言模型的训练与推理。这是谷歌 TPU 从“内部垄断工具”走向“商业化输出”的里程碑，也暴露出马克·扎克伯格彻底撕碎英伟达算力定价权的勃勃野心。。业内人士推荐Line官方版本下载作为进阶阅读
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Historic England is working with Pre-Construct Archaeology, Norfolk Museums Service and the National Museum of Scotland to coordinate the finds' research and conservation.