Generative AI Episode 6 : What is LLM

What exactly is a Large Language Model, and how can it write emails, explain complex topics, summarize documents and generate computer code? In Episode 6 of our beginner-friendly Generative AI series, we explain how Large Language Models—or LLMs—work using simple language and relatable examples. In this video, you’ll learn: • What “Large Language Model” means • What parameters are • How text is divided into tokens • How LLMs generate responses one token at a time • Why an LLM is like extremely advanced autocomplete • What pretraining and instruction tuning mean • How human or AI feedback helps align a model • What a context window is • Why LLMs can hallucinate or produce incorrect answers • Why AI needs external tools for current or private information You’ll also see the important difference between asking an LLM to write an appointment email and asking it to check live appointment availability. No programming experience, advanced mathematics or previous AI knowledge is required. This video is part of an end-to-end Generative AI series covering Machine Learning, neural networks, Transformers, Large Language Models, prompt engineering, embeddings, vector databases, RAG, AI agents, tools, MCP, evaluation, guardrails, deployment and AI governance. ▶️ Previous episode: How Transformers and Attention Work ▶️ Next episode: Prompt Engineering for Beginners Subscribe and follow the complete journey from AI beginner to AI architect. #LargeLanguageModels #LLM #GenerativeAI #AIForBeginners #Transformers #ChatGPT #ArtificialIntelligence #LearnAI