Topic Brief: In the previous video, we've started measuring bias in word embeddings. When you iterate on your data, you also want to iterate on your model.
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Topic Useful Details
This video explains the separate parts of the DIET architecture and how they are combined into an architecture that is useful in a ... Instead of debugging a model, it might be *much* more effective to consider debugging your data. In the age of deep learning and transformers, rule-based systems can still be a great idea.
Important Reminders
In the age of deep learning and transformers, rule-based systems can still be a great idea. In the previous video we introduced self attention and in this video we're going ...
Reference Practical Overview
In the previous video, we've started measuring bias in word embeddings. In the previous video on bias, we showed that you should be careful with debiasing techniques. When you iterate on your data, you also want to iterate on your model.
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Useful notes from the results
- In the age of deep learning and transformers, rule-based systems can still be a great idea.
- Instead of debugging a model, it might be *much* more effective to consider debugging your data.
- This video explains the separate parts of the DIET architecture and how they are combined into an architecture that is useful in a ...
- In the previous video on bias, we showed that you should be careful with debiasing techniques.
- In the previous video we introduced self attention and in this video we're going ...
- When you iterate on your data, you also want to iterate on your model.
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