From the course: Foundations of AI and Machine Learning for Java Developers
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Large language models and NLP - Java Tutorial
From the course: Foundations of AI and Machine Learning for Java Developers
Large language models and NLP
- [Instructor] So we've covered a definition of artificial intelligence and its relationship to machine learning and deep learning. We've also discussed the two important subsets of deep learning, predictive deep learning, predictive AI, and generative deep learning, gen AI. And we've also covered predictive AI using Java and JSR 3D One. Now, let's focus specifically on generative AI. Since the concept of a model is particularly important with generative AI, let's review what a model is. In general, a model is a representation of some physical entity that behaves just like that physical entity, and the machine learning model is a model that's been created using machine learning techniques. That is, no explicit programming to recognize patterns in a dataset. After all, that's what machine learning is really, really good at, recognizing patterns in a dataset. And after an ML model is trained on a dataset and saved, that model can be used as a representation of that data. For example…
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