Apple Introduces OpenELM: Open Source AI Models for On-Device Use Apple has unveiled a new suite of open source large language models known as OpenELM, designed to operate directly on devices, bypassing the need for cloud computing.

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Apple’s latest innovation in artificial intelligence, OpenELM (Open-source Efficient Language Models), represents a significant shift towards on-device AI processing. This suite of models is now accessible through the Hugging Face Hub, a popular platform for AI developers to share and collaborate on code. The release includes a detailed white paper, providing insights into the development and capabilities of these models.

There are eight models within the OpenELM series, with half pre-trained using Apple’s CoreNet library and the other half fine-tuned with specific instructions to enhance their utility.

A notable feature of these models is their use of a layer-wise scaling strategy, which optimizes parameter allocation across the transformer model’s layers. This approach not only boosts efficiency, but also significantly improves accuracy; for instance, with a set parameter budget, OpenELM achieves a 2.36% increase in accuracy while requiring half the pre-training tokens compared to previous models like OLMo.

In a departure from typical industry practices of only releasing model weights and inference code based on privately held datasets, Apple has opted to provide comprehensive resources. This includes the full training framework, logs, multiple checkpoints, and configurations, all based on publicly available datasets. This transparency aims to foster quicker advancements and more reliable outcomes in the field of natural language AI.

By making these models open source, Apple is inviting the broader research community to explore and expand upon their work, addressing potential risks and biases in data and model design. This also opens up opportunities for developers and corporations to adapt the models for specific applications.

Moreover, Apple’s strategy of sharing its innovations in open source forums is a strategic move to attract leading talent. The company’s typically secretive stance has been set aside in favor of fostering a collaborative environment where researchers can publish their findings, further enriching the academic and professional landscape of AI.

Although these AI capabilities have not yet been integrated into Apple devices, the upcoming iOS 18 is rumored to include several new AI features, amid speculation about on-device processing of these powerful models to enhance user privacy.

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