Building a Flexible Framework for Multimodal Data Input in Large Language Models

Retrieved on: 2024-11-19 18:34:54

Tags for this article:

Artificial neural networks

Multimodal interaction

Natural language processing

Deep learning

Computational neuroscience

Artificial intelligence

Vision transformer

Modality

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Building a Flexible Framework for Multimodal Data Input in Large Language Models. View article details on hiswai:

Summary

The article introduces AnyModal, a flexible framework for integrating multimodal data (text, images, audio) into large language models (LLMs) like GPT, addressing scalability and compatibility issues in AI development. It relates to tags via its use of transformers, multimodal interaction, and deep learning techniques.

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