How LLMs Work: Large Language Models Explained | AI Explained #10

How LLMs Work: Large Language Models Explained – episode 10 of AI Concepts Explained, a free beginner-friendly AI and machine learning course by Irfan Hayat. How do large language models like ChatGPT actually work? Irfan Hayat explains next-token prediction, pre-training, fine-tuning, human feedback, temperature sampling, context windows and hallucinations, with animated diagrams and a Python sampling demo. What you'll learn • Next-token prediction, the core idea • Pre-training on huge text collections • Fine-tuning and learning from human feedback • Temperature and sampling in Python • Context windows, hallucinations and limits Chapters 00:00 Intro 00:36 Next-token prediction 01:14 Pre-training 01:58 Fine-tuning and human feedback 02:36 Temperature and sampling 03:18 Context windows and hallucinations 04:01 Temperature in Python 04:58 Training cost and scale 05:53 Using LLMs well 06:41 One reply, step by step 07:28 Quick quiz 08:15 Recap 08:45 Next: Prompt engineering All slides, code examples and explanations are original. Narration uses a synthetic (text-to-speech) voice reading the instructor's original script. No music, third-party footage or logos are used. ▶ Full series: AI Concepts Explained playlist #LLM #ArtificialIntelligence #ChatGPT