Vision language models represent a new generation of deep learning frameworks capable of processing both images and text as input and producing either as outputs. Though still relatively new, businesses are beginning to recognize the potential of these models and are gradually integrating them into applications.
Vision language models can be used to query images, classify objects, detect items, and generate descriptive text, making them versatile tools across domains. A key advantage is that they can deployed for tasks where labeled data is scarce and custom model training is not feasible.
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