Transformers for Natural Language Processing - Second Edition

<p><strong>OpenAI's GPT-3 ChatGPT GPT-4 and Hugging Face transformers for language tasks in one book. Get a taste of the future of transformers including computer vision tasks and code writing and assistance.</strong></p><p><br></p><p><strong>Purchase of the print or Kindle book includes a free eBook in PDF format</strong></p><p><br></p><p><strong>Key Features:</strong></p><ul><li>Pretrain a BERT-based model from scratch using Hugging Face</li><li>Fine-tune powerful transformer models including OpenAI's GPT-3 to learn the logic of your data</li><li>Perform root cause analysis on hard NLP problems</li></ul><p><br></p><p><strong>Book Description:</strong></p><p>Transformers are...well...transforming the world of AI. There are many platforms and models out there but which ones best suit your needs?</p><p><br></p><p>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.</p><p><br></p><p>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.</p><p><br></p><p>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.</p><p><br></p><p>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).</p><p><br></p><p>You'll see how cutting-edge platforms such as OpenAI have taken transformers beyond language into computer vision tasks and code creation using Codex.</p><p><br></p><p>By the end of this book you'll know how transformers work and how to implement them and resolve issues like an AI detective!</p><p><br></p><p><strong>What You Will Learn:</strong></p><ul><li>Find out how ViT and CLIP label images (including blurry ones!) and create images from a sentence using DALL-E</li><li>Discover new techniques to investigate complex language problems</li><li>Compare and contrast the results of GPT-3 against T5 GPT-2 and BERT-based transformers</li><li>Carry out sentiment analysis text summarization casual speech analysis machine translations and more using TensorFlow PyTorch and GPT-3</li><li>Measure the productivity of key transformers to define their scope potential and limits in production</li></ul><p><br></p><p><strong>Who this book is for:</strong></p><p>If you want to learn about and apply transformers to your natural language (and image) data this book is for you.</p><p><br></p><p>You'll need a good understanding of Python and deep learning and a basic understanding of NLP to benefit most from this book. Many platforms covered in this book provide interactive user interfaces which allow readers with a general interest in NLP and AI to follow several chapters. And don't worry if you get stuck or have questions; this book gives you direct access to our AI/ML community and author Denis Rothman. So he'll be there to guide you on your transformers journey!</p>