From the course: Python for AI Projects: From Data Exploration to Impact

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Data exploration

Data exploration - Python Tutorial

From the course: Python for AI Projects: From Data Exploration to Impact

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Data exploration

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- [Instructor] As we move into building our AI-powered application, our approach to data exploration starts to shift. In traditional machine learning, data exploration is mostly about preparing training data sets, understanding distributions, cleaning inputs, and building features to train a model. But in AI workflows, especially when working with retrieval-augmented generation and LLMs, exploration becomes more about identifying the right information to feed into the model at inference time. In other words, when the user is actually interacting with our system. We'll begin by exploring what documents we could use to support a retrieval component. These might include the site location descriptions from the Explore California website, rich with details about each destination. We also have the tour product information containing which locations are included in each tour, the length of the tour, and various other…

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