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Category: Technical Terms
Transfer learning takes knowledge from one AI task and applies it to a different but related task.
Train an AI to recognize cats and dogs, then use that knowledge to recognize lions and wolves. The AI already understands animal features, so it learns the new task faster.
Most practical AI uses transfer learning rather than training from scratch.
Transfer learning makes AI development faster and cheaper. Instead of needing massive datasets for every task, you can build on existing knowledge.
This is why ChatGPT can write code, poetry, and emails - it transfers language understanding across domains.
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