<?xml version="1.0" ?><entry xml:lang="en-us" xmlns="http://www.w3.org/2005/Atom" xmlns:planet="http://planet.intertwingly.net/"><id>https://blog.nelhage.com/post/transformers-for-software-engineers/</id><link href="https://blog.nelhage.com/post/transformers-for-software-engineers/" rel="alternate" type="text/html"/><title>Transformers for software engineers</title><summary>Ever since its introduction in the 2017 paper, Attention is All You Need, the Transformer model architecture has taken the deep-learning world by storm. Initially introduced for machine translation, it has become the tool of choice for a wide range of domains, including text, audio, video, and others. Transformers have also driven most of the massive increases in model scale and capability in the last few years. OpenAI’s GPT-3 and Codex models are Transformers, as are DeepMind’s Gopher models and many others.</summary><updated planet:format="April 01, 2022 08:00 PM">2022-04-01T20:00:00Z</updated><source><id>https://blog.nelhage.com/post/</id><author><name>Nelson Elhage</name></author><link href="https://blog.nelhage.com/post/" rel="alternate" type="text/html"/><link href="https://blog.nelhage.com/post/atom.xml" rel="self" type="application/rss+xml"/><subtitle>Recent content in Posts on Made of Bugs</subtitle><title>Posts on Made of Bugs</title><updated planet:format="September 08, 2026 12:37 AM">2026-09-08T00:37:06Z</updated><planet:format>rss20</planet:format><planet:bozo>false</planet:bozo><planet:items_per_page>60</planet:items_per_page><planet:name>Nelson Elhage</planet:name><planet:css-id>nelson-elhage</planet:css-id><planet:days_per_page>0</planet:days_per_page><planet:http_etag>&quot;5b2ae9eec2e293572f6ae5a000bd0161-ssl-df&quot;</planet:http_etag><planet:http_status>200</planet:http_status><planet:encoding>utf-8</planet:encoding></source></entry>