DiscoverMachine Learning Tech Brief By HackerNoonBuilding Multimodal Generative AI Systems: Architecture, Refinement, and Enhancement
Building Multimodal Generative AI Systems: Architecture, Refinement, and Enhancement

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

Update: 2024-08-02
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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.




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

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

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