How Large Language Models LLMs Work Explained | Tokens, Context Windows, Parameters & Training Proce

About this lesson

Dive deep into how Large Language Models (LLMs) actually work in this Generative AI Course Lecture 5. In this lecture, you’ll learn the core concepts behind modern AI models like GPT, including tokens, context windows, parameters, transformers, and the LLM training process. We’ll break down complex concepts into simple explanations so beginners can clearly understand how AI models generate human-like text and power tools like ChatGPT, Gemini, Claude, and more. 📌 Topics Covered: What are Large Language Models (LLMs)? How tokens work in AI Understanding context windows What are parameters in neural networks? How LLMs are trained Pretraining vs Fine-tuning Transformer architecture basics Next token prediction explained 🎯 Perfect for: Beginners in AI & Machine Learning Students learning Generative AI Developers exploring LLMs Anyone curious about ChatGPT and modern AI systems 🔥 Generative AI Course Playlist: Stay tuned for upcoming lectures covering Transformers, Prompt Engineering, RAG, AI Agents, Fine-Tuning, and more. #LLM #GenerativeAI #ChatGPT #AI #MachineLearning #DeepLearning #GPT #Transformer #ArtificialIntelligence #PromptEngineering

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