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A Foundation Model refers to a large-scale pre-trained model that can serve as a general-purpose base to be fine-tuned for downstream tasks or directly invoked.
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9/22/2026
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VerifiedThe concept of Foundation Model was formally proposed by Stanford HAI in 2021, referring to general-purpose models pre-trained on ultra-large-scale data that can be transferred to various downstream tasks with a small amount of labeled data.78% similarUnverifiedBase models refer to general-purpose large language models such as GPT, Doubao, and DeepSeek, while post-trained models refer to models fine-tuned for specific industries based on base models.74% similarUnverifiedByteDance's Seed team plans to train a foundation large model with more than 50 trillion parameters; the project is currently in the early validation stage and insists on native pre-training while rejecting the distillation approach.69% similarVerifiedFine-tuning involves taking an existing large model and further training it with a specially prepared proprietary dataset, thereby changing the model's weight values69% similar
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