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Shuvodip Ray

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YouTube • 4m

Researchers at Meta recently presented ‘An Introduction to Vision-Language Modeling’, to help people better understand the mechanics behind mapping vision to language. The paper includes everything from how VLMs work, how to train them, and approaches to evaluate VLMs. This approach is more effective than traditional methods such as CNN-based image captioning, RNN and LSTM networks, encoder-decoder models, and object detection techniques. Traditional methods often lack the advanced capabilities of newer VLMs, such as handling complex spatial relationships, integrating diverse data types and scaling to more sophisticated tasks involving detailed contextual interpretations.

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