Apple has expanded its contributions to the open-source AI community by adding 20 new Core Machine Learning models to the Hugging Face AI repository. This addition builds on Apple’s previous efforts to share public models and research papers, enhancing the collaborative platform used for hosting, training, and improving AI models.
Expansion of Open-Source Contributions
In April 2024, Apple released a series of four Open Source Efficient LLMs (OpenELMs) on Hugging Face, marking a significant step in the company’s open-source initiatives. This collaborative platform, known for its extensive library of AI models, facilitates the development and improvement of AI technologies by enabling researchers and developers to work together.
Apple’s latest contribution includes 20 new Core ML models and several datasets, with a focus on improving text and image AI capabilities. According to Hugging Face co-founder and CEO Clement Delangue, these updates encompass exciting new models aimed at tasks such as image classification and depth segmentation.
Enhancing AI Capabilities
The new models introduced by Apple are designed to enhance various AI applications, particularly in image and text processing. Image classification models can identify elements within an image, while semantic segmentation models can distinguish and label different parts of an image. These advancements open up possibilities for innovative applications, such as removing unwanted backgrounds from photos or identifying objects and providing their names in multiple languages.
Apple and its Continued Commitment to AI Research
Apple’s latest public release follows the announcement of Apple Intelligence at WWDC and demonstrates the company’s ongoing commitment to AI research. The release of “Ferret,” a large language model for image queries, on GitHub in October 2023, is another example of Apple’s contributions to the AI community. “Ferret” has since been updated, and Apple has also published research on generative AI animation tools and the creation of AI avatars.
Researchers believe these efforts underpin features like the forthcoming Genmoji in iOS 18, showcasing Apple’s application of AI advancements in its products. The initial release of research papers and OpenELMs was seen as Apple’s attempt to counter the perception that it was lagging in AI development. With ongoing contributions and updates, Apple is positioning itself as a significant player in the AI research and development landscape.
Industry Impact
Apple’s collaboration with Hugging Face and its open-source contributions highlight the company’s dedication to advancing AI technologies. By sharing its research and models, Apple is fostering a collaborative environment that benefits the broader AI community. This approach not only accelerates the development of AI solutions but also demonstrates Apple’s leadership in the field.
As AI continues to evolve, Apple’s contributions to platforms like Hugging Face will play a crucial role in shaping the future of text and image AI, enabling new applications and enhancing existing technologies across various industries.
