How LLMs Work Under the Hood | Attention Is All You Need Explained - Complete Gen AI course in Hindi
This video provides a complete and beginner-friendly explanation of how Large Language Models (LLMs) such as ChatGPT, Google Gemini, and Anthropic Claude actually work under the hood.
Using the foundation laid by the 2017 Google research paper “Attention Is All You Need,” this session explains how modern AI models understand text, maintain context, and generate responses one token at a time.
We break down how GPT models convert your text into numbers, how the Transformer architecture processes this information, and how the attention mechanism helps the model understand relationships between words. This video makes complex concepts accessible by connecting every idea step by step.
What This Video Covers
What is an LLM (Large Language Model)
How models like GPT predict the next token in a sequence and why this simple mechanism powers all modern AI systems.
Tokenization and Embeddings
How raw text is converted into tokens and transformed into numerical vectors the model can understand.
Transformer Architecture
A clear overview of the structure that powers GPT, Gemini, Claude, LLaMA, and all major GenAI models.
Self-Attention Mechanism
How the model evaluates relationships between all words in a sentence to understand context.
Multi-Head Attention
Why the model uses multiple attention “heads” to view the same text from different perspectives such as meaning, grammar, tone, and sequence.
The Decoder Loop (How GPT Generates Text)
How the model predicts a token, appends it, and then re-processes the entire sequence to predict the next one.
Why GPUs Are Needed
Why LLMs require massive parallel computation and billions of mathematical operations for each generated sentence.
“Attention Is All You Need” Paper
The Google research breakthrough that replaced RNNs and LSTMs, enabling the rise of modern Transformers and LLMs.
Attention is All you Need paper: https://proceedings.neurips.cc/paper_...
With Crackbase, you can grow your skills, prepare for interviews, contribute to open source all in one place.
👉 Visit now: https://crackbase.in
📚 Complete Gen AI Course (Ongoing):
• Complete Gen AI course
🐍 Complete Python Course For Beginners (Ongoing):
• Python for Beginners (Full Course) | Pytho...
📌 Join our Telegram Group:
https://t.me/abhishekmukherjeecommunity
👉 Other videos you should check out:
🔸 IWhy No One Teaches Real Computer Science Anymore ?(But You Should Learn It): • Why No One Teaches Real Computer Science A...
🔸 If, Else and Elif in Python: • Learn If, Else and Elif in Python| Complet...
🔸 Data Types and Operator in Python:
• Data Types and Operator in Python | Python...
🔸 Introduction to Python, Installation and Variable:
• Introduction to Python, Installation and V...
🔸 Free Online University:
• Tuition-Free College Degree Online? My Hon...
🔸 What is LLM:
• What is LLM? | How AI Understands & Predic...
🔸 Free Computer Science Degree:
• Get a Free Computer Science Degree(Equival...
🔸 DOM & BOM in JavaScript | Gen AI Course (Lecture 8):
• Functions In Javascript| Gen AI Course In ...
🔸 Functions In JavaScript | Gen AI Course (Lecture 7):
• Functions In Javascript| Gen AI Course In ...
🔸 Complete HTML Crash Course:
• Complete HTML Course For Beginners : HTML ...
🔸 Variables in JavaScript:
• Variables in Javascript | Gen AI course in...
🔸 Introduction to Programming:
• Introduction to Programming | Gen AI cours...
🔸 Top Skills to Learn in 2025:
• Top skills to learn in 2025
🔸 If You Are Ambitious but Lazy, Watch This!:
• If you’re ambitious but lazy, please watch...
#chatgpt #ai #coding #artificialintelligence #programming #freecourses
#GPTArchitecture
#LLMExplained
#TransformersAI
#AttentionIsAllYouNeed
#GPT
#ChatGPT
#LargeLanguageModels
#GenerativeAI
#SelfAttention
#MultiHeadAttention
#DeepLearning
#NeuralNetworks
#AIExplained
#MachineLearning
#OpenAI
#HowGPTWorks
#AIDeepDive
#AIBasics
#AITutorial
#LearnAI
#BecomeAIReady
#AIRevolution
#FutureOfAI
#LLMUnderTheHood
#AIArchitecture
#GeminiAI
#ClaudeAI
#NLP
#Tokenization
#Embeddings
#DecoderOnlyModels
#TransformerModel
#GenAISimplified
#AbhishekMukherjee
#AIForBeginners
#AIEducation
#PythonAI