4min chapter

Practical AI: Machine Learning, Data Science, LLM cover image

"Foundation" models

Practical AI: Machine Learning, Data Science, LLM

CHAPTER

Transfer Learning - Scaling

More and more training models are either uns vised, or at some level between thats all supervised. The thing that i am curious about here is, how should i think about this in in terms of transfer learning? Is this something that i would use as a base for transfer learning to build upon? Yes, i think that when they're doing their port two things are the two kind of pillars on which foundation models, that they're calling them, are built. If i'm remembering right, they talk about transfer learning and scale.

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