--- title: "Transformer Neural Networks, ChatGPT's foundation, Clearly Explained!!!" url: https://daily.dev/posts/transformer-neural-networks-chatgpt-s-foundation-clearly-explained--y8ixzzvl5 source_url: https://www.youtube.com/watch?v=zxQyTK8quyY type: video:youtube source: "StatQuest with Josh Starmer" published: 2026-05-31T07:43:41.624Z updated: 2026-05-31T07:55:01.260Z tags: ["nlp", "neural-networks"] reading_time: 36 upvotes: 0 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Transformer Neural Networks, ChatGPT's foundation, Clearly Explained!!! **[StatQuest with Josh Starmer](https://daily.dev/sources/statquest)** · 36 min read · 0 upvotes · 0 comments ## Summary A step-by-step walkthrough of how Transformer neural networks work, using a simple English-to-Spanish translation example. Covers word embedding (converting words to numbers), positional encoding (tracking word order via sine/cosine functions), self-attention (measuring word similarity via dot products and softmax), encoder-decoder attention (linking input and output sequences), and residual connections. Also touches on multi-head attention, layer normalization, and how backpropagation trains the weights. The explanation is beginner-friendly, building intuition before introducing terminology. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#nlp](https://daily.dev/tags/nlp), [#neural-networks](https://daily.dev/tags/neural-networks) [View this post on daily.dev](https://daily.dev/posts/transformer-neural-networks-chatgpt-s-foundation-clearly-explained--y8ixzzvl5)