But there are different types of neural networks optimized for different types of data. To recap, neural nets are a very effective type of model for analyzing complex data types like images, videos, audio, and text. So in this post, we’ll talk about what they are, how they work, and why they’ve been so impactful.Ī Transformer is a type of neural network architecture. If you want to stay hip in machine learning and especially NLP, you have to know at least a bit about Transformers. You might say they’re more than meets the… ugh, forget it. In fact, lots of the amazing research I write about on is built on Transformers, like AlphaFold 2, the model that predicts the structures of proteins from their genetic sequences, as well as powerful natural language processing (NLP) models like GPT-3, BERT, T5, Switch, Meena, and others. Transformers are models that can be designed to translate text, write poems and op eds, and even generate computer code. You know that expression When you have a hammer, everything looks like a nail? Well, in machine learning, it seems like we really have discovered a magical hammer for which everything is, in fact, a nail, and they’re called Transformers.
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |