Ruoming Pang
@ruomingpang
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As Apple Intelligence is rolling out to our beta users today, we are proud to present a technical report on our Foundation Language Models that power these features on devices and cloud: 🧵
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RT @hou_bairu: Can LLMs learn to activate only the most suited parameters based on task descriptions? 🤔 Introducing Instruction-Following…
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RT @drjingjing2026: 1/3 Today, an anecdote shared by an invited speaker at #NeurIPS2024 left many Chinese scholars, myself included, feelin…
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RT @XyouH: Looking for a 2025 summer research intern, in the Foundation Model Team at Apple AI/ML, with the focus of Multimodal LLM / Visio…
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RT @haotiansun014: ✨ Introducing EC-DIT: a Mixture-of-Experts (MoE) model with adaptive computation, scaling diffusion transformers up to 9…
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RT @yinfeiy: Excited to share the MM1.5 work from our team. Thanks to the team for the great work 🚀🚀🚀
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The report describes the design and evaluation of our LLMs in details, including architecture, data curation, pre-training and post-training recipes, optimization, feature adaptation, and evaluation results.
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Our team is developing cutting-edge foundation models that power Apple Intelligence. Join our close-knit and fast-moving efforts as researchers and engineers in Cupertino, New York, or Seattle. Be at the heart of shaping the future of Apple Intelligence. Learn more at
Earlier today at #WWDC24, we introduced Apple Intelligence, the personal intelligence system integrated deeply into iPhone, iPad, and Mac, to enable powerful capabilities across language, images, actions, and personal context. We’re excited to share more about how Apple Intelligence models have been built and adapted to perform specialized tasks efficiently, accurately, and responsibly on Apple’s ML Research site:Â
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Earlier today at #WWDC24, we introduced Apple Intelligence, the personal intelligence system integrated deeply into iPhone, iPad, and Mac, to enable powerful capabilities across language, images, actions, and personal context. We’re excited to share more about how Apple Intelligence models have been built and adapted to perform specialized tasks efficiently, accurately, and responsibly on Apple’s ML Research site:Â
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RT @mckbrando: Thrilled to share MM1!. The MM1 series of models are competitive with Gemini 1 at each of their respective model sizes. Beyo…
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