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A new post on Apple’s Machine Learning Research blog shows how much the M5 Apple silicon improved over the M4 when it comes to running a local LLM. Here are the details.
A couple of years ago, Apple released MLX, which the company describes as “an array framework for efficient and flexible machine learning on Apple silicon”.
In practice, MLX is an open-source framework that helps developers build and run machine learning models natively on their Apple…
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A new post on Apple’s Machine Learning Research blog shows how much the M5 Apple silicon improved over the M4 when it comes to running a local LLM. Here are the details.
A couple of years ago, Apple released MLX, which the company describes as “an array framework for efficient and flexible machine learning on Apple silicon”.
In practice, MLX is an open-source framework that helps developers build and run machine learning models natively on their Apple…
We strive to uphold the highest ethical standards in all of our reporting and coverage. We StartupNews.fyi want to be transparent with our readers about any potential conflicts of interest that may arise in our work. It’s possible that some of the investors we feature may have connections to other businesses, including competitors or companies we write about. However, we want to assure our readers that this will not have any impact on the integrity or impartiality of our reporting. We are committed to delivering accurate, unbiased news and information to our audience, and we will continue to uphold our ethics and principles in all of our work. Thank you for your trust and support.
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