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This post explores how to implement chain-of-thought reasoning capabilities in small vision-language models. By combining ViT and GPT-2, we verify the effect of reasoning prompts on accuracy improvement using the A-OKVQA benchmark.
Section 01
This post explores how to implement chain-of-thought reasoning capabilities in small vision-language models. By combining ViT and GPT-2, we verify the effect of reasoning prompts on accuracy improvement using the A-OKVQA benchmark.
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