From the course: Generative AI: Introduction to Large Language Models

Unlock this course with a free trial

Join today to access over 25,300 courses taught by industry experts.

Why are large language models so powerful?

Why are large language models so powerful?

- [Narrator] In the previous video, we explored some of the many things that large language models can do, such as answer questions, solve problems, provide coding and writing assistance, summarize text and translate languages. So how is it that they're so powerful and versatile? One key reason is that most modern large language models are based on a very powerful type of artificial neural network invented by Google, known as a transformer. We'll take a closer look at neural networks and transformers later in this course, but for now, what's important to know is that transformers are models that can learn contextual relationships between words. Another reason why large language models are so powerful is that they're typically trained on massive amounts of text data collected from diverse sources, such as books, academic articles, websites, code repositories, and more. This extensive training data provides…

Contents