Large Language Model Foundations and Generative AI

As generative AI continues to transform industries, understanding the technology behind it is essential for anyone looking to stay current in the tech landscape. This course provides a clear entry point into the world of Large Language Models (LLMs), explaining how they work and how they are changing the way we interact with information. You will gain a solid foundation in the mechanics of these models, moving from basic definitions to the practical methods used to refine their behavior. Through written explanations and clear examples, you will understand the lifecycle of an AI application and the techniques used to make models more accurate and helpful. What you'll learn: - Understand the fundamental architecture and training process of Large Language Models - Identify diverse use cases for LLMs across various business and creative sectors - Apply instruction tuning techniques to align model outputs with specific user goals - Practice prompt engineering basics to improve the quality and relevance of generated content - Explore the role of vector databases and retrieval-augmented generation (RAG) in modern AI - Learn how to evaluate model performance and address common limitations like hallucination The course begins with essential terminology and core concepts before exploring the practical workflows used to build and optimize generative AI tools. This text-based program is designed for beginners with no prior experience in machine learning or data science. Start your journey into the world of generative AI today.