Originally published at: What Are Foundation Models? | NVIDIA Blogs
Foundation models are AI neural networks trained on massive unlabeled datasets to handle a wide variety of jobs from translating text to analyzing medical images.
A foundation model refers to a base or core AI model that serves as the starting point for developing more specialized or domain-specific models. It is a large-scale pre-trained language model that has been trained on vast amounts of text data to understand and generate human-like language. Foundation models, such as GPT-3, are trained using unsupervised learning techniques and can perform a wide range of language-related tasks, including text generation, summarization, translation, and more. These models provide a strong foundation for building more targeted and specific AI applications by fine-tuning them on narrower datasets or adding task-specific prompts and instructions.
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