From the course: Advanced Guide to ChatGPT, Embeddings, and Other Large Language Models (LLMs)

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Transfer learning: A primer

Transfer learning: A primer - ChatGPT Tutorial

From the course: Advanced Guide to ChatGPT, Embeddings, and Other Large Language Models (LLMs)

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Transfer learning: A primer

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- Let's begin with a primer on transfer learning. We've mentioned this term before, but to step back and define it with a little bit more rigor, transfer learning is effectively the process by which you would take a model that has been trained for one task and reuse it as the starting point for a model of a second task. That's a bit of a vague definition, but it's kind of meant to be. Transfer learning is not specific to large language models in the slightest. It is a theoretical concept by which you take any machine learning model, frankly, it doesn't even have to be machine learning, that has been trained for one thing and you hope / assume / hypothesize, whichever word you want, to use that model would be to transfer its learning of the first task to the second. The point would be so that you could use a little bit less data on the second round and be able to reuse that model from the first task with as many teams as you would want. Basically making the entire process of…

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