Liquid AI has made a significant breakthrough in its mission to bring personal AI to the masses. The company, spun out of MIT in 2023, has tuned its Liquid Context software to run on Qualcomm's Snapdragon chips. This innovation allows AI agents to learn and adapt to users' routines and preferences on-device, without relying on cloud processing.
With the user's permission, Liquid Context builds a picture of their daily life, including routines, preferences, and needs. This information is then passed on to AI agents, which can run on the device, in the cloud, or both. The company emphasizes that the personal context stays on the device, and agents only receive the information that the user allows.
The partnership between Liquid AI and Qualcomm has the potential to revolutionize the way we interact with AI. As Ramin Hasani, Liquid AI's chief executive and co-founder, puts it, "Personal AI starts with understanding how you live and what you need, when you need it." The company has already demonstrated the potential of this technology with three illustrative examples, including a scenario where an AI agent assists a user in rescheduling meetings when their child falls ill.
Qualcomm, a leading supplier of chips to device manufacturers, including carmakers, sees the partnership as an opportunity to accelerate the development of Agentic AI experiences. "By combining our industry-leading Snapdragon platforms with innovative AI technologies from companies like Liquid AI, we're helping accelerate the next generation of Agentic AI experiences," said Durga Malladi, an executive vice president at Qualcomm Technologies.
In a related development, Liquid AI has released a draft model for its LFM2.5-VL-3B vision model, which uses a method called speculative decoding to speed up image and text processing. The model has shown significant performance gains, with decoding speeds increasing by up to 3.13 times on an M5 Max MacBook Pro and up to 2.66 times on an Nvidia H100 GPU.
The partnership between Liquid AI and Qualcomm, along with the release of the new vision model, demonstrates the company's commitment to pushing the boundaries of AI innovation. As the AI landscape continues to evolve, it will be exciting to see how this technology is integrated into various devices and applications.
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