Explore the future of Artificial Intelligence in the thought-provoking SuperAI 2024 conference session titled 'Beyond LLM: Natively Multi-modal AI, Autonomous Agents and Edge' presented by Girish Patil. This enlightening talk delves into the transformative potential of AI technologies that go beyond traditional Large Language Models (LLMs), covering essential advances in multi-modal AI, autonomous agents, and edge computing.

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Girish Patil illustrates how AI models can now perceive the world in a human-like manner by integrating text, image, and audio data to create natively multi-modal models. Discover how platforms like Amazon Alexa are evolving through this technology to facilitate more intuitive and meaningful human interactions.

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The session also addresses the inherent limitations of LLM-based autonomous agents. By examining their capacity for planning and execution, Girish highlights the potential of these agents when augmented with additional technologies to perform efficiently and autonomously.

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Further, this insightful presentation unravels the possibilities unlocked by edge computing—transforming AI by enabling powerful computational tasks without dependence on massive data centers. Witness how smaller, more efficient models challenge conventional assumptions about AI scale and capability, making cutting-edge technology accessible to a broader global audience.

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Engage with Girish Patil's technical discussion, enhanced by resourceful demos and QR-coded literature that invites deeper exploration into these pioneering fields.

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