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austingil.com | ||
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bdtechtalks.com
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| | | | | The transformer model has become one of the main highlights of advances in deep learning and deep neural networks. | |
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www.paepper.com
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| | | | | Every now and then, you need embeddings when training machine learning models. But what exactly is such an embedding and why do we use it? Basically, an embedding is used when we want to map some representation into another dimensional space. Doesn't make things much clearer, does it? So, let's consider an example: we want to train a recommender system on a movie database (typical Netflix use case). We have many movies and information about the ratings of users given to movies. | |
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rolsi.net
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| | | | | There's a lot going on at the interface of AI and speech - both recognition and production - and some of it draws on ideas from ethnomethodology and conversation analysis. But is it any good? Stuart Reeves runs the rule over some of the issues. Stuart Reeves, Nottingham Artificial Intelligence is a big deal now.... | |
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blog.flippercloud.io
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| | | You know what they say... there are 2 hard things in computer science: cache invalidation, naming things and off-by-1 errors. That's true for feature flags as well. You don't always get the name quite right before the feature flag gets used in production. But once the flag is in use | ||
