The coming wave of specialized AI

In this blogpost, Piero Molino, author of Ludwig.ai, CSO & Co-Founder at Predibase, will make the case for why smaller, faster, fine-tuned LLMs are poised to take over large, general AI models. Training your own model used to require a huge upfront cost, but now open-source models can be fine-tuned on a few thousand examples, a small investment that is quickly amortized compared to using general models that, because of their generality, are very large and expensive. Consequently, companies are adopting a new AI development process that makes it possible to realize business value from AI much faster, and you can adopt it too.

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