What Is a Foundation Model? How General-Purpose AI Is Built and Adapted
SMRTR summary
Foundation models are large AI systems trained on massive amounts of data, making them flexible enough to handle many different tasks. Instead of being built for one specific job, they can be adapted through techniques like fine-tuning or prompting. This flexibility comes with trade-offs around cost, accuracy, and control, all of which matter when putting these models to practical use.
SMRTR provides this summary for quick context. The original article belongs to Unite AI.
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