This AI Paper from Apple Delves Into the Intricacies of Machine Learning: Assessing Vision-Language Models with Raven’s Progressive Matrices

Vision-Language Models (VLMs) have come a long way recently, as demonstrated by the success of OpenAI’s GPT4-V. Recent studies have shown that these models have demonstrated remarkable performance across a variety of vision-language tasks, including captioning, object localization, multimodal world knowledge, commonsense reasoning, visual question answering (VQA), and vision-based coding.  According to earlier studies, these […]

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