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. Visit Ben Kendrick's website for info on his fiction work, follow him on Twitter or check out what he's doing now over at Rise at Seven.Transformers, Explained: Understand the Model Behind GPT-3, BERT, and T5 Thanks to a background in fiction writing, Ben is drawn to films that make story and character a priority however, that doesn't stop him from enjoying a range of Hollywood offerings - from blockbuster action flicks to campy so-bad-they're-good B-movies. A graduate of the New School’s Master of Fine Arts in Creative Writing program, Ben has been passionate about movies ever since standing in line for a midnight showing of Indiana Jones and the Last Crusade when he was eight years-old.
He is a member of the Denver Film Critics Society as well as the Online Film Critics Society - with work referenced, cited, or syndicated on CNN, Wikipedia, Huffington Post, Rotten Tomatoes, IMDB, Yahoo, and Business Insider, among others. Ben Kendrick is the former Content Director (and current film critic) of Screen Rant, CBR, and Collider as well as host of Podcast X, the Screen Rant Underground, and Total Geekall podcast.
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