Building Multimodal Generative AI Systems: Architecture, Refinement, and Enhancement - podcast episode cover

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

Aug 02, 20244 min
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Episode description

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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