From the course: Artificial Intelligence Foundations: Thinking Machines
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Foundation models
From the course: Artificial Intelligence Foundations: Thinking Machines
Foundation models
- In 2021, a computer science team at Stanford University wrote a paper that described a new type of machine learning model. These new foundation models would be trained on broad data and can be adapted to a wide range of downstream tasks. These foundation models would have a lot more power and flexibility. That's because most AI systems are still using machine learning models that are trained for a very specific task. Right now, most organizations still use supervised machine learning to create a model to classify massive amounts of data. That means that you could create a supervised machine learning model to help identify email messages as spam. But to do that, you have to train a model using data that's already been labeled as spam messages. Then once you train the model then you can test it with more data. As you can imagine, this is a pretty difficult process. First, you have to identify high quality training data.…
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