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Teaching AI to See: A Technical Deep-Dive on Vision Language Models with Will Hardman of Veratai

"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

CHAPTER

Vision Language Models and Human Perception

This chapter examines the differences between how vision language models (VLMs) and humans perceive and interpret images, emphasizing the challenges VLMs face in nuanced visual tasks. It explores the impact of perceptual priors on decision-making, the potential for performance improvements with increased computational resources, and the intricacies involved in counting objects in images. Additionally, the discussion highlights various training methodologies and advancements in model architecture aimed at enhancing visual understanding.

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