Exploring “Small” Vision-Language Models with TinyGPT-V

TinyGPT-V is a “small” vision-language model that can run on a single GPU

Summary

AI technologies are continuing to become embedded in our everyday lives. One application of AI includes going multi-modal, such as integrating language with vision models. These vision-language models can be applied towards tasks such as video captioning, semantic searching, and many other problems.

This week, I’m going to shed a spotlight towards a recent vision-language model called TinyGPT-V (Arxiv | GitHub). What makes this …

application artificial intelligence become captioning embedded language language model language models large language models machine learning modal multi-modal quantization searching semantic small tasks technologies tinygpt-v video vision vision language model vision-language models vision models