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As Large Language Models become widely available and commoditized, the real question is—what’s next? AI innovation is shifting beyond raw model size toward optimization, orchestration, and domain-specific intelligence. In this episode, we explore how businesses are moving past general-purpose AI, leveraging specialized models, hardware accelerators, and real-time learning to drive efficiency, sustainability, and strategic value.
The future of AI won’t be defined by who has the biggest model, but by who integrates AI most effectively. Join us as we dive into the next phase of AI evolution, where intelligent orchestration, adaptive learning, and purpose-driven AI shape the future of technology.
By Naveen Balani3.2
55 ratings
As Large Language Models become widely available and commoditized, the real question is—what’s next? AI innovation is shifting beyond raw model size toward optimization, orchestration, and domain-specific intelligence. In this episode, we explore how businesses are moving past general-purpose AI, leveraging specialized models, hardware accelerators, and real-time learning to drive efficiency, sustainability, and strategic value.
The future of AI won’t be defined by who has the biggest model, but by who integrates AI most effectively. Join us as we dive into the next phase of AI evolution, where intelligent orchestration, adaptive learning, and purpose-driven AI shape the future of technology.

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