AI Definitions: Foundation models
/Foundation models – At the core of many generative AI tools today, data scientists are using foundation models as a new approach to develop machine learning models. In contrast to traditional ML models, which typically perform specific tasks, FMs are adaptable and able to perform a wide range of tasks with accuracy. These large deep-learning neural networks are trained on massive datasets. Foundation models are also known as Large X Models or LXMs. A video explanation.
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