Foundations of Large Language Models Using ChatGPT

Are you curious about the technology behind tools like ChatGPT but find the underlying concepts confusing? Understanding how Large Language Models (LLMs) function is the first step toward leveraging their full power. This course provides a clear, foundational understanding of LLMs, explaining the architecture, training data, and application methods that drive modern conversational AI. You will gain the technical literacy necessary to interact with and deploy these powerful systems intelligently. What you'll learn: * Understand the fundamental architecture and components of transformer-based Large Language Models. * Learn the stages of LLM training, including pre-training, fine-tuning, and reinforcement learning principles. * Apply effective prompt engineering techniques to guide LLMs toward specific, reliable outputs. * Practice identifying the limitations of LLMs, such as bias and hallucination, and strategies for mitigation. * Configure basic application patterns like Retrieval-Augmented Generation (RAG) for specialized knowledge tasks. We start with key terminology and definitions, progressively building up to practical application patterns through detailed written explanations and conceptual code examples. This course is specifically designed for absolute beginners with no prior experience in machine learning or AI. No advanced prerequisites are required. Start your journey into the world of generative AI today.