Large language models (LLMs) are a type of artificial intelligence that can generate text, translate languages, write different kinds of creative content, answer your questions, and more. They are trained on massive datasets of text and code, and they can learn to perform a wide range of tasks. LLMs are still under development, but they have the potential to revolutionize many industries. For example, they could be used to create more personalized customer experiences, to help doctors diagnose diseases, and to write better code. In this course, you will learn the basics of LLMs, including how they work and how they are used. You will also learn about the different types of LLMs, and how to use them to solve real-world problems. By the end of this course, you will have a solid understanding of LLMs and how they can be used to improve your business and your life.
What is the main benefit of using large language models?
What is a task-specific foundation model?
What is parameter-efficient tuning methods?