Pluralsight – NLPs and Transformer Models

Pluralsight – NLPs and Transformer Models
English | Tutorial | Size: 693.75 MB

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.

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.

ALFAFILE
alfafile.net/file/AZVpa/Pluralsight%20-%20NLPs%20and%20Transformer%20Models.part1.rar
alfafile.net/file/AZVpj/Pluralsight%20-%20NLPs%20and%20Transformer%20Models.part2.rar