Operational Mechanism of LLMs | Brief & Clear Explanation"

Title: Operational Mechanism of LLMs | Brief & Clear Explanation
Description:
Dive into the fascinating world of Large Language Models (LLMs) like GPT, BERT, and others! In this concise and easy-to-understand video, we break down the operational mechanism of LLMs, focusing on how these models process input text, predict the next tokens, and generate coherent outputs.
You’ll learn about:
The role of tokenization in preparing input text.
How the Transformer architecture (Self-Attention & Feedforward) powers these models.
The forward pass and decoding mechanisms (e.g., Greedy, Beam Search, and Sampling).
Detokenization to produce final human-readable text.
Whether you're a beginner or an enthusiast, this video simplifies complex concepts with clarity and visuals. Perfect for those curious about AI and natural language processing!
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#AI #LLM #MachineLearning #NLP #ArtificialIntelligence
Large Language Models (LLMs)
Transformer Models
Natural Language Processing (NLP)
AI Text Generation
Machine Learning Explained
AI for Beginners
Deep Learning
GPT and BERT Basics
Artificial Intelligence Models
Neural Networks
How LLMs Work
Transformer Architecture Explained
Self-Attention Mechanism
Tokenization in AI
Text Generation AI
Decoding Techniques in NLP
Forward Pass in Transformers
LLM Training and Inference
Understanding AI Models
Mechanism of GPT
Learn AI Quickly
AI Simplified
Beginner’s Guide to AI
LLM Basics Made Easy
AI Explained Lucidly
Easy NLP Concepts
AI Operational Mechanism
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Brief AI Overview
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