---
title: "Self-Attention in Transformers: Computation Logic and Implementation"
url: https://daily.dev/posts/self-attention-in-transformers-computation-logic-and-implementation-qaqwnbvh9
source_url: https://pub.towardsai.net/self-attention-in-transformers-computation-logic-and-implementation-ae5072b60abc
type: article
source: "Towards AI"
published: 2024-04-28T05:35:20.204Z
updated: 2024-05-09T09:30:38.138Z
tags: ["machine-learning", "transformers"]
reading_time: 3
upvotes: 0
comments: 0
language: en
---

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# Self-Attention in Transformers: Computation Logic and Implementation

**[Towards AI](https://daily.dev/sources/tai)** · 3 min read · 0 upvotes · 0 comments

## Summary

This post explains the computation logic and implementation of self-attention in transformers. It covers the calculation of attention weights, obtaining value vectors and context vectors, and practical optimizations for computational efficiency.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://pub.towardsai.net/self-attention-in-transformers-computation-logic-and-implementation-ae5072b60abc>

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#transformers](https://daily.dev/tags/transformers)

[View this post on daily.dev](https://daily.dev/posts/self-attention-in-transformers-computation-logic-and-implementation-qaqwnbvh9)
