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&lt;div class=&quot;markdown-heading&quot; dir=&quot;auto&quot;&gt;
&lt;h2 class=&quot;heading-element&quot; dir=&quot;auto&quot;&gt;Byte Pair Encoding in LLMs&lt;/h2&gt;
&lt;/div&gt;
&lt;p dir=&quot;auto&quot;&gt;In this blog, we will learn about BPE (Byte Pair Encoding) - the tokenization algorithm used by most modern Large Language Models (LLMs) to break text into smaller pieces before processing it.&lt;/p&gt;
&lt;p dir=&quot;auto&quot;&gt;We will understand what BPE is, why it is needed, and how it works step by step with a simple example.&lt;/p&gt;
&lt;p dir=&quot;auto&quot;&gt;We will cover the following:&lt;/p&gt;
&lt;ul dir=&quot;auto&quot;&gt;
&lt;li&gt;What is Tokenization?&lt;/li&gt;
&lt;li&gt;The Problem: How to Break Text into Tokens?&lt;/li&gt;
&lt;li&gt;What is BPE (Byte Pair Encoding)?&lt;/li&gt;
&lt;li&gt;How BPE Works: Step by Step&lt;/li&gt;
&lt;li&gt;How BPE Tokenizes New Text&lt;/li&gt;
&lt;li&gt;Why BPE is Used in Modern LLMs&lt;/li&gt;
&lt;/ul&gt;
&lt;p dir=&quot;auto&quot;&gt;Let&#039;s get started: &lt;a href=&quot;https://outcomeschool.com/blog/bpe-in-llms&quot; rel=&quot;nofollow&quot;&gt;Byte Pair Encoding in LLMs&lt;/a&gt;&amp;nbsp;&lt;/p&gt;
&lt;div class=&quot;markdown-heading&quot; dir=&quot;auto&quot;&gt;
&lt;h2 class=&quot;heading-element&quot; dir=&quot;auto&quot;&gt;Math behind Attention - Q, K, and V&lt;/h2&gt;
In this blog, we will learn about the math behind Attention: Query(Q), Key(K), and Value(V) with a step-by-step numeric example.&lt;/div&gt;
&lt;p dir=&quot;auto&quot;&gt;We will cover the following:&lt;/p&gt;
&lt;ul dir=&quot;auto&quot;&gt;
&lt;li&gt;The Attention Formula&lt;/li&gt;
&lt;li&gt;Setting Up: From Words to Vectors&lt;/li&gt;
&lt;li&gt;Creating Q, K, and V Matrices&lt;/li&gt;
&lt;li&gt;Computing Attention Scores (Q x K^T)&lt;/li&gt;
&lt;li&gt;Scaling the Scores&lt;/li&gt;
&lt;li&gt;Applying Softmax&lt;/li&gt;
&lt;li&gt;Computing the Final Output (Attention Weights x V)&lt;/li&gt;
&lt;li&gt;Putting It All Together&lt;/li&gt;
&lt;/ul&gt;
&lt;p dir=&quot;auto&quot;&gt;Let&#039;s get started: &lt;a href=&quot;https://outcomeschool.com/blog/math-behind-attention-qkv&quot; rel=&quot;nofollow&quot;&gt;Math behind Attention - Q, K, and V&lt;/a&gt;&lt;/p&gt;
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&lt;hr /&gt;

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✎ Modifica tag 🤖 Suggerisci AI

          language_model:5, deep learning:5, machine learning:5, model_training:5, linear_regression:5        

deep learning 5 language_model 5 linear_regression 5 machine learning 5 model_training 5 wpg 5

ID: 68079 • Tipo: WPG • Reg: 2026-07-14 • Mod: 29/07/2026 20:16