How LLM Works (Explained) | The Ultimate Guide To LLM | Day 2:BPE 🔥 #shorts #ai

#ai #chatgpt #llm #bytepairencoding 🚀 *LLM Series Day 2: Byte Pair Encoding (BPE) — The Algorithm Behind ChatGPT’s Tokenization!* 🚀 Welcome back to the *LLM Series**! After Day 1’s tokenization primer, we’re diving into **BPE* — the algorithm that lets GPT-4, ChatGPT, and other LLMs actually read text. 🔍 **What You’ll Learn**: ✅ **BPE Basics**: How merging bytes creates subword tokens. ✅ **Why It Matters**: Handle rare words, reduce vocabulary size, and boost efficiency. ✅ **Live Demo**: Watch BPE chunk “unprecedented” into subwords like GPT-4 would! 💥 **Why BPE is a BIG Deal**: Used in **GPT-4**, **BERT**, and **most LLMs**. Solves the “out-of-vocabulary” problem. Makes training faster and cheaper. 👇 *Watch Now* → Master the algorithm powering modern AI! 📌 **Keywords**: BPE algorithm, Byte Pair Encoding, LLM tokenization, how ChatGPT works, GPT-4 training, tokenization explained, LLM series, NLP algorithms. 🔔 *Subscribe* and hit the bell → Don’t miss Day 3 (Subword Tokenization Wars!). 💬 **Comment Challenge**: What LLM topic should I cover next? 🔥 **📺 Watch Day 1 (Tokenization Basics)**: [Insert Link]