# A guide to Transformer architecture in modern language models

DevFeed: [A guide to Transformer architecture in modern language models](<https://devfeed.tech/articles/a-deep-dive-into-the-transformer-architecture-33578.md>)

Original publisher: [Read original article](<https://blog.algomaster.io/p/transformer-architecture>)

Author: Ashish Pratap Singh

Published: 2026-05-14T04:15:11Z

Content type: tutorial

Language: en

Sources: [AlgoMaster Newsletter](<https://devfeed.tech/sources/algomaster-newsletter.md>)

Topics: [Transformer architecture](<https://devfeed.tech/topics/transformer-architecture.md>), [LLMs](<https://devfeed.tech/topics/llms.md>), [Transformer](<https://devfeed.tech/topics/transformer.md>)

Tags: [architecture-pattern](<https://devfeed.tech/tags/architecture-pattern.md>), [better](<https://devfeed.tech/tags/better.md>), [deep-dive](<https://devfeed.tech/tags/deep-dive.md>), [layer](<https://devfeed.tech/tags/layer.md>), [llms](<https://devfeed.tech/tags/llms.md>), [model](<https://devfeed.tech/tags/model.md>), [parallel](<https://devfeed.tech/tags/parallel.md>), [performance](<https://devfeed.tech/tags/performance.md>), [semantics](<https://devfeed.tech/tags/semantics.md>), [sequence](<https://devfeed.tech/tags/sequence.md>), [syntax](<https://devfeed.tech/tags/syntax.md>), [tokens](<https://devfeed.tech/tags/tokens.md>), [transformer-architecture](<https://devfeed.tech/tags/transformer-architecture.md>), [transformers](<https://devfeed.tech/tags/transformers.md>)

## AI overview

This tutorial explains the Transformer architecture, including its original encoder-decoder design for translation and the decoder-only variant used for modern language generation. It describes decoder components such as masked multi-head self-attention, feed-forward networks, layer normalization, and residual connections, and introduces the Pre-LayerNorm pattern.

## Source excerpt

A single 2017 research paper changed the future of AI forever and gave rise to multiple unicorn companies.