Computerworld September 19, 2024
The future of generative AI could rely on smaller language models for every application an enterprise uses, models that would be both more nimble and customizable — and more secure.
As organizations continue to adopt generative AI (genAI) tools and platforms and explore how they can create efficiencies and boost worker productivity, they’re also grappling with the high costs and complexity of the technology.
The foundation of genAI and AI in general are language models, the algorithms and neural networks that power chatbots like OpenAI’s ChatGPT and Google’s Bard. The most popular and widely used models today are known as large language models (LLMs).
LLMs can be massive. The technology is tied to large, diverse troves of information and the...
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