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Google Cloud just recently released "The PyTorch developer's guide to JAX fundamentals".

Contains a side-by-side implementation of a training loop in both #Pytorch and #JAX + Flax NNX sor those interested in exploring the JAX world in familiar terms.

Link: https://cloud.google.com/blog/products/ai-machine-learning/guide-to-jax-for-pytorch-developers

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10 Must-Know Python Libraries for LLMs in 2025

Large language models (LLMs) are changing the way we think about AI. They help with #chatbots, text generation, and search tools, among other natural language processing tasks and beyond. To work with #LLMs, you need the right #Python libraries.

In this article, we explore 10 of the Python libraries every developer should know in 2025.

Read and learn:
https://machinelearningmastery.com/10-must-know-python-libraries-for-llms-in-2025/

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The Beginnerโ€™s Guide to Machine Learning with Rust

In this article, weโ€™ll explore the fundamentals of #machinelearning in #Rust, walk through essential libraries, and build a simple machine learning model. Whether youโ€™re a Rust developer curious about machine learning or an machine learning practitioner looking for a high-performance alternative, this article will help you get started.

Link: https://machinelearningmastery.com/the-beginners-guide-to-machine-learning-with-rust/

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