Generative Pre-trained Transformers (GPT) from Coursera

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.

What's inside

Syllabus

Language Modeling

This module introduces the concept of language modelling, which is the foundation of models like GPT.

Transformers and GPT

This module describes the technical background for neural language models and an overview of how they are used to generate text.

Applications and Implications

This module discusses considerations that are necessary when using GPT and similar models in real-world contexts, specifically discussing the risks of using these models and approaches to mitigating these risks.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores deep learning models, particularly GPT-3.5, which are rapidly shaping numerous industries

Introduces the basics of language modelling and its relevance in understanding and generating text

Taught by seasoned experts, including Mary Ellen Foster, Sean MacAvaney, and Jake Lever

Provides hands-on labs and interactive materials for practical application of concepts

Suitable for individuals seeking a strong foundation in natural language processing and language modelling

Covers the key innovations that have enabled Transformer-based large language models to excel

Career center

Learners who complete Generative Pre-trained Transformers (GPT) will develop knowledge and skills that may be useful to these careers:

Artificial Intelligence Developer

Artificial Intelligence Developers explore and develop artificial intelligence (AI) solutions to meet various needs. They innovate and improve AI products and services. Those in this role may find this course helpful as it provides a good understanding of the fundamental concepts of natural language processing and language modeling, which would be beneficial when working with language-based AI applications.

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Marketing Manager

Marketing Managers are responsible for developing and executing marketing campaigns. They need to have a strong understanding of market research, advertising, and public relations. This course may be helpful for those in this role as it can help them understand the nuances of language and how to generate marketing materials that are effective and engaging.

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Data Scientist

Data Scientists use their expertise in mathematics, statistics, and computer science to extricate insights from complex datasets. They must be able to communicate these insights to stakeholders in a clear and concise manner. This course may be helpful for those in this role, as it can improve understanding of the building blocks of Transformers and teaches how to apply them for generating new text.

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Machine Learning Engineer

Machine Learning Engineers are responsible for creating, deploying, and maintaining machine learning (ML) models. They must be able to translate business problems into ML solutions. This course may be helpful because it explores the technical background for neural language models and provides an overview of how they are used to generate text, which could be useful for any ML-based role.

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Business Analyst

Business Analysts help organizations understand their business needs and develop solutions to meet those needs. They need to have a strong understanding of business processes and data analysis. This course may be helpful for those in this role as it can help them understand the nuances of language and how to generate reports and presentations that are clear and concise.

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Content Writer

Content Writers create written content for various platforms, including websites, blogs, social media, and more. They need to have a strong understanding of grammar, style, and audience. This course may be helpful for those in this role as it can help them understand the nuances of language and how to generate engaging content.

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Computational Linguist

Computational Linguists apply their knowledge of computer science and linguistics to solve problems related to natural language. This course may be helpful for those in this role as it explores the basics of how language models work, and the specifics of how newer neural-based approaches are built.

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Management Consultant

Management Consultants help organizations improve their performance. They need to have a strong understanding of business strategy, operations, and finance. This course may be helpful for those in this role as it can help them understand the nuances of language and how to generate reports and presentations that are clear and concise.

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Product Manager

Product Managers are responsible for the development and launch of new products. They need to have a strong understanding of market research, product development, and marketing. This course may be helpful for those in this role as it can help them understand the nuances of language and how to generate marketing materials that are effective and engaging.

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Technical Writer

Technical Writers create documentation and other written materials that explain complex technical information. They need to have a strong understanding of both technical concepts and writing principles. This course may be helpful for those in this role as it can help them understand the nuances of language and how to generate clear and concise technical documentation.

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Public relations manager

Public Relations Managers are responsible for managing the public image of organizations. They need to have a strong understanding of media relations, crisis communication, and social media. This course may be helpful for those in this role as it can help them understand the nuances of language and how to generate press releases and other public relations materials that are clear and concise.

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User Experience Designer

User Experience Designers create products and services that are easy to use and enjoyable. They need to have a strong understanding of user behavior and interface design. This course may be helpful for those in this role as it can help them understand the nuances of language and how to generate interfaces that are intuitive and user-friendly.

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Software Engineer

Software Engineers design, develop, and maintain software systems. They work with various programming languages and technologies to create robust and reliable software. This course may be helpful for those in this role as it teaches the basics of how language models work, and the specifics of how newer neural-based approaches are built. This could help them create software that uses natural language processing or language modeling.

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Web Developer

Web Developers design, create, and maintain websites. They need to have a strong understanding of programming languages, web technologies, and user interface design. This course may be helpful for those in this role as it provides a good foundation in natural language processing. This knowledge can be used to create more dynamic and interactive websites.

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Research Scientist

Research Scientists are involved in the conception, design, execution, and analysis of scientific research projects. They need to be able to analyze data, draw conclusions, and communicate their findings. This course could be useful for anyone in this role as it introduces the fundamental ideas of natural language processing and language modeling. This could be beneficial for many kinds of research, including some in the field of computer science.

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