Generative Pre-trained Transformers (GPT)
half-circle
vector

Generative Pre-trained Transformers (GPT)

Highlights

Large language models such as GPT-3.5, which powers ChatGPT, are changing how humans interact with computers and how computers can process text. This course will introduce the fundamental ideas of natural language processing and language modelling that underpin these large language models. We will explore the basics of how language models work, and the specifics of how newer neural-based approaches are built. We will examine the key innovations that have enabled Transformer-based large language models to become dominant in solving various language tasks. Finally, we will examine the challenges in applying these large language models to various problems including the ethical problems involved in their construction and use.

Through hands-on labs, we will learn about the building blocks of Transformers and apply them for generating new text. These Python exercises step you through the process of applying a smaller language model and understanding how it can be evaluated and applied to various problems. Regular practice quizzes will help reinforce the knowledge and prepare you for the graded assessments.

About the Course Provider

Coursera provides access to more than 3000+ courses across a wide variety of subjects in parntership with different universities and organizations.

Course by

  • self
    Self-paced
  • dueration
    Duration 13 hours
  • domain
    Domain Data Science & AI
  • subs
    Monthly Subscription
    Course is included in
    1. Professional @ AED 149 + VAT
    2. Starter @ AED 99 + VAT
  • fee
    Buy Now AED 170.99 + VAT
  • language
    Language English