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This article explores the concept of pre-trained models and their applications in text, image, and robotics domains. It discusses the benefits of pre-trained models, such as the ability to fine-tune and apply transfer learning, and their role in the ongoing revolution of deep learning. The article also examines different architectures and types of pre-trained models and their potential for use in chatbots, robotics, and image recognition.
