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Elixir and Machine Learning in 2024 so far: MLIR, Arrow, structured LLM, etc.
An update on the latest advancements of Elixir, data, and Machine Learning.
It plays a similar role as Numpy within the Elixir community, with support for just-in-time compilation to both CPUs and GPUs. With the recent release of Nx v0.7, we have ported our Google XLA (Accelerated Linear Algebra) bindings to MLIR, which will hopefully open up the Numerical Elixir to several new exciting possibilities, such as: These features bring Numerical Elixir and its ability to setup distributed model serving, over CPUs and GPUs, to traditional meachine learning algorithms, allowing developers and data practitioners to tackle a wider number of problems within the Elixir ecosystem.
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