An open source library for “large-scale deep learning models” running on the public cloud and a framework for machine learning on Apple silicon. It can be used to train or fine tune transformer language models on Apple hardware.
This is a big step for Apple — given what it's competitors are up to — by turning Apple Silicon into a utility for running ML models.
👀 Watch this space!
Wow Chris, this is fantastic news! An array framework for machine learning on Apple silicon sounds like a powerful tool to help people create amazing things.
So, it's like a toolbox for running big learning models in the cloud and fine-tuning language models specifically on Apple devices? I'm curious how accessible it is for those new to deep learning and if it offers pre-built models or requires creating from scratch?
Apple MLX is a game-changer for the world of machine learning, specifically tailored for the powerful Apple silicon processors
About Apple MLX on Product Hunt
“An array framework for machine learning on Apple silicon”
Apple MLX launched on Product Hunt on December 12th, 2023 and earned 137 upvotes and 11 comments, placing #25 on the daily leaderboard. An open source library for “large-scale deep learning models” running on the public cloud and a framework for machine learning on Apple silicon. It can be used to train or fine tune transformer language models on Apple hardware.
Apple MLX was featured in Open Source (68.3k followers), Artificial Intelligence (466.3k followers), GitHub (41.2k followers) and Apple (15.4k followers) on Product Hunt. Together, these topics include over 122.7k products, making this a competitive space to launch in.
Who hunted Apple MLX?
Apple MLX was hunted by Chris Messina. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Apple MLX stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Chris Messina