Book Image

Transformers for Natural Language Processing - Second Edition

By : Denis Rothman
5 (1)
Book Image

Transformers for Natural Language Processing - Second Edition

5 (1)
By: Denis Rothman

Overview of this book

Transformers are...well...transforming the world of AI. There are many platforms and models out there, but which ones best suit your needs? Transformers for Natural Language Processing, 2nd Edition, guides you through the world of transformers, highlighting the strengths of different models and platforms, while teaching you the problem-solving skills you need to tackle model weaknesses. You'll use Hugging Face to pretrain a RoBERTa model from scratch, from building the dataset to defining the data collator to training the model. If you're looking to fine-tune a pretrained model, including GPT-3, then Transformers for Natural Language Processing, 2nd Edition, shows you how with step-by-step guides. The book investigates machine translations, speech-to-text, text-to-speech, question-answering, and many more NLP tasks. It provides techniques to solve hard language problems and may even help with fake news anxiety (read chapter 13 for more details). You'll see how cutting-edge platforms, such as OpenAI, have taken transformers beyond language into computer vision tasks and code creation using DALL-E 2, ChatGPT, and GPT-4. By the end of this book, you'll know how transformers work and how to implement them and resolve issues like an AI detective.
Table of Contents (25 chapters)
18
Other Books You May Enjoy
19
Index
Appendix I — Terminology of Transformer Models

Generic text completion with GPT-2

We will explore an example with a GPT-2 generic model from top to bottom. The goal of the example we will run is to determine the level of abstract reasoning a GPT model can attain.

This section describes the interaction with a GPT-2 model for text completion. We will focus on Step 9 of the OpenAI_GPT_2.ipynb notebook described in detail in Appendix III, Generic Text Completion with GPT-2.

You can first read this section to see how the generic pretrained GPT-2 model will react to a specific example. Then read Appendix III, Generic Text Completion with GPT-2, to go into the details of how a generic GPT-2 model is implemented in a Google Colab notebook.

You can also read Appendix III directly, which contains the interaction of Step 9 described below.

First, let’s understand the specific example of the pretrained GPT-2 being applied.

Step 9: Interacting with GPT-2

In this section, we will interact with the...