X11 Chapter | Academic Writing
Generative AI: Large Language Models (LLMs) Learning objectives After studying this chapter, students will be able to: Explain what Generative AI is and how it differs from regular AI. Explain the concept of a Large Language Model (LLM) in simple terms. Understand how LLMs learn using large amounts of data. Recognize the basic concepts of tokens and embeddings. Understand the difference between the training and inference stages. Recognize the importance of preparing good prompts. Discover the main applications of LLMs. Recognize limitations and issues such as hallucination, bias, and privacy. Perform simple Generative AI tasks using Python or available AI tools. Understand the need for responsibility and ethics when using AI. Introduction If you ask an AI chatbot, "Prepare a short note about the major tourist attractions in Kerala." It will prepare a note within a few seconds. Similarly, AI tools can be used today to write a story, prepare an email, write the code of a progr...