• Building Multimodal Generative AI Systems: Architecture, Refinement, and Enhancement

  • Aug 2 2024
  • Duración: 4 m
  • Podcast

Building Multimodal Generative AI Systems: Architecture, Refinement, and Enhancement

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  • This story was originally published on HackerNoon at: https://hackernoon.com/building-multimodal-generative-ai-systems-architecture-refinement-and-enhancement.
    Generative AI systems are built in blocks, each performing a distinct function and interacting with other blocks to achieve a larger goal.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #generative-ai, #ai, #ai-agent, #multimodal-models, #ai-architecture, #ai-enhancement, #data-augmentation, #ai-integrations, and more.

    This story was written by: @tona. Learn more about this writer by checking @tona's about page, and for more stories, please visit hackernoon.com.

    Generative AI systems are built in blocks, each performing a distinct function and interacting with other blocks to achieve a larger goal. The rise of Generative Multimodal Models brings up a new perspective of thinking of AI as a system rather than Large Language Models (LLMs) alone.

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