In the latest Breaking Analysis episode, theCUBE Research’s Dave Vellate, George Gilbert and Scott Hebner explore the shift in AI value creation from large language models to small, specialized, secure models and their evolution into small action models. This transformation is enabling multi-agent systems powered by data harmonization layers, unlocking new productivity paradigms for enterprises.
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Companies such as Meta, with its open-source LLama model, are driving rapid AI adoption and surpassing spending on proprietary models from OpenAI and Microsoft. While businesses are tempering their AI ROI expectations, the future lies in an ecosystem of collaborative small and large models, creating dynamic multi-agent systems that deliver real-time, high-impact business outcomes.
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