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?
Раскрыты подробности о договорных матчах в российском футболе18:01
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A review of the Liberal party’s catastrophic election defeat will be buried in a move that shields the former leader Peter Dutton and the current leader, Angus Taylor, from potentially damaging findings about their role in the campaign.
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Жители Санкт-Петербурга устроили «крысогон»17:52。heLLoword翻译官方下载对此有专业解读
However, CCS technology is not without critics, who warn it might discourage efforts to cut CO2 emissions.