Deep Dive into GPT Architecture- Complete Gen AI course in Hindi
In this video, we explore what the term GPT actually means and how it forms the foundation of modern Large Language Models (LLMs) such as ChatGPT, Google Gemini, and Anthropic Claude.
You will learn how the three words in the acronym — Generative, Pre-trained, and Transformer — describe the full journey of how AI systems learn, understand, and generate language.
This detailed breakdown connects practical examples with the core theory behind GPT. We explain how GPT models generate new content, where their knowledge comes from, and why the Transformer architecture revolutionized artificial intelligence.
By the end of this session, you will have a clear understanding of how GPT models actually work and why every major GenAI system today is built upon this architecture.
What You Will Learn
What GPT stands for and why it matters in AI.
What “Generative” means and how models create original, context-based text instead of retrieving prewritten data.
What “Pre-trained” means and how models learn from massive datasets gathered from the internet.
What “Transformer” means and how this architecture allows the model to read an entire sentence at once to understand relationships between words.
Why Google’s research paper “Attention Is All You Need” changed the course of AI development.
How every major language model — GPT, Gemini, Claude, LLaMA, and others — is based on the same Transformer architecture.
A preview of the next video in this series: Inside the Transformer Architecture | How LLMs Work Under the Hood.
Key Insight
Understanding the GPT architecture reveals how AI systems think.
GPT models predict words one token at a time, learn patterns from their pre-training data, and use the Transformer’s attention mechanism to generate coherent, meaningful responses in real time.
Attention is All you Need paper: https://proceedings.neurips.cc/paper_...
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