As AI adoption is accelerating across the industry, customers are building sophisticated models that take advantage of new scientific breakthroughs in deep learning. These next-generation models allow you to achieve state-of-the-art, human-like performance in the fields of natural language processing (NLP), computer vision, speech recognition, medical research, cybersecurity, protein structure prediction, and many others. For instance, large language models like GPT-3, OPT, and BLOOM can translate, summarize, and write text with human-like nuances. In the computer vision space, text-to-image diffusion models like DALL-E and Imagen can create photorealistic images from natural language with a higher level of visual and language understanding from the world around us. These multi-modal models provide richer features for various downstream tasks and the ability to fine-tune them for specific domains, and they bring powerful business opportunities to our customers.
These deep learning models keep growing in terms of size, and typically contain billions of model

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