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Apple researchers have developed new methods for training large language models on both text and images, enabling more powerful and flexible AI systems, in what could be a significant advance for artificial intelligence and for future Apple products.
By training models on a diverse dataset spanning visual and linguistic information, the MM1 models were able to excel at tasks like image captioning, visual question answering, and natural language inference.
The researchers also found that the choice of image encoder and the resolution of input images had a major impact on model performance.
This suggests that continued scaling and refinement of the visual components of these multimodal models will be key to unlocking further gains.
Continuing our tour, we're headed to Atlanta for the AI Impact Tour stop on April 10th. This exclusive, invite-only event, in partnership with Microsoft, will feature discussions on how generative AI is transforming the security workforce.
This points to the potential for large multimodal models to tackle complex, open-ended problems that require grounded language understanding and generation.
The MM1 research comes as Apple has been ramping up its investments in artificial intelligence in an effort to catch up with rivals like Google, Microsoft, and Amazon who have raced ahead in integrating generative AI capabilities into their products.
The company is on track to spend $1 billion per year on AI development, according to a recent Bloomberg report.
AI could be used to auto-generate personalized playlists, assist developers in writing code, or engage in open-ended conversation and task completion.
Apple has a history of being a fast follower rather than a first mover when it comes to major technology shifts.
With AI poised to transform every aspect of the digital landscape, the stakes are high for the iPhone maker to stay competitive.
The MM1 research shows that Apple has the talent and resources to make cutting-edge advances.
It remains to be seen if the notoriously secretive company can move quickly enough to keep pace in the escalating AI arms race.
Many eyes will be on Apple's Worldwide Developers Conference in June, where the company is expected to unveil new AI-powered features and developer tools.
In the meantime, smaller AI advances like the Keyframer animation tool and performance enhancements coming out of Apple's research labs show steady progress is being made behind the scenes.
The age of pervasively helpful and human-like AI may arrive sooner than we think - and Apple intends to play a major part in shaping it.
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This Cyber News was published on venturebeat.com. Publication date: Fri, 15 Mar 2024 20:43:05 +0000