1. What are the key steps involved in zero-shot text classification? The text mentions that we avoid data labelling, but what specific steps are involved in the process?

2. What are the advantages of zero-shot text classification over traditional text classification approaches that use large amounts of labeled data? The text mentions that it uses less labeled data, but what specific advantages does this confer?

3. What are some examples of zero-shot text classification applications? The tutorial likely provides some examples, but can you provide some additional real-world applications of this technique?

4. What are some of the challenges with zero-shot text classification? While the technique has advantages, there are likely also some difficulties or limitations. Can you elaborate on what some of these challenges might be?

5. How does zero-shot text classification work under the hood? At a high level the text describes the process, but can you provide more technical details on the algorithms or models used to perform zero-shot text classification?
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