Is ChatGPT Actually Intelligent? Here's What's Really Going On

Ever tried to explain what's actually happening inside an LLM and gotten stuck? This video breaks down how large language models actually work, from what makes them different from "AI" in general to the mechanics underneath. What's covered: AI vs LLM: what actually separates the two terms Context window: how much the model can "see" and remember at once Tokenization: how raw text turns into units the model can process Embeddings: how those units become vectors of meaning Self-attention: how the model decides what to focus on in a sequence Predictions: how the model uses all of the above to predict the next word RAG (Retrieval-Augmented Generation): what it is and why it's used A visual walkthrough of how all of these pieces work together Timestamps: 0:00 Intro 0:21 AI vs LLM 1:51 Context Window 2:01 Tokenization 3:28 Embeddings 4:15 Self-attention 5:26 Predictions 6:42 RAG 7:34 Visual Example of how LLMs work 12:19 Outro 🎵 Music: Bensound, https://www.bensound.com/free-music-f... License code: XE6K0SLCEEYODNVT Artist: Benjamin Tissot 🎬 Edited by:   / the_21st_shot   Follow along: Instagram:   / nafiserfann   Facebook: https://www.facebook.com/profile.php?... LinkedIn:   / nafis-erfan-753219410   #LLM #AI #MachineLearning