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NLP's and Transformer Models

Transformers have revolutionized NLP since their inception in 2017. They can understand language at a deeper level as well as parallelize training on GPUs. In this course, you will learn how to create Transformers for NLP.

Axel Sirota - Pluralsight course - NLP's and Transformer Models
by Axel Sirota

What you'll learn

Natural language processing is a set of tools and techniques that enable us to unlock the power of text, and transformers have revolutionized NLP since their inception in 2017. They can understand language at a deeper level as well as parallelize training on GPUs. In this course, NLP's and Transformer Models, you’ll gain the ability to use and create Transformers and LLMs for NLP. First, you’ll explore the attention mechanism and learn how it really works. Next, you’ll discover about the Transformer architecture and write one of your own! Finally, you’ll learn how to leverage Hugging Face to fine-tune or perform “transfer learning” on LLMs to do pretty amazing tasks. When you’re finished with this course, you’ll have the skills and knowledge of Transformers on Natural Language Processing needed to develop outstanding solutions.

Table of contents

About the author

Axel Sirota - Pluralsight course - NLP's and Transformer Models
Axel Sirota

Axel Sirota has a Masters degree in Mathematics with a deep interest in Deep Learning and Machine Learning Operations. After researching in Probability, Statistics and Machine Learning optimization, he is currently working at JAMPP as a Machine Learning Research Engineer leveraging customer data for making accurate predictions at Real Time Bidding.

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