AI models will proliferate
“The majority of companies, academic institutions, and research institutes building AI will move from massive, multipurpose foundation models to creating much smaller, highly trained, task-specific models. The benefits of these small, bespoke models are lower cost-to-serve, lower carbon and water footprint to train, greater accuracy than general-purpose models, and the potential to run on laptops or mobile devices (edge computing). The latter offers greater privacy and highly personalized results if these models can be grounded in or fine-tuned on an individual’s data. Creating small, inexpensive, but incredibly accurate models can commoditize expert skills and will enable anyone to build capabilities specific to their needs.” — Kathy Baxter, principal architect, reponsible AI and technology, Salesforce
The generative AI stories you cared about most in 2023
Our most-read generative AI blog posts of 2023 all had one thing america phone number list in common: They showed business leaders were hungry for practical guidance.
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AI will turbocharge the capabilities of single-person companies
“In the same way that the internet and mobile seeped everywhere, that’s going to happen with intelligence. It will be unthinkable to not have intelligence integrated into every product and service. It will just be an expected, obvious thing. This will be a big shift in how we interact with the world and technology.