{"product_id":"transformers-for-natural-language-processing-second-edition-build-train-and-fine-tune-deep-neural-network-architectures-for-nlp-with-python-hugg-9781803247335","title":"Transformers for Natural Language Processing - Second Edition: Build, train, and fine-tune deep neural network architectures for NLP with Python, Hugg","description":"\u003cp\u003e\u003cstrong\u003eOpenAI'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.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePurchase of the print or Kindle book includes a free eBook in PDF format\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003ePretrain a BERT-based model from scratch using Hugging Face\u003c\/li\u003e\n\u003cli\u003eFine-tune powerful transformer models, including OpenAI's GPT-3, to learn the logic of your data\u003c\/li\u003e\n\u003cli\u003ePerform root cause analysis on hard NLP problems\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eTransformers are...well...transforming the world of AI. There are many platforms and models out there, but which ones best suit your needs?\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eTransformers 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.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eYou'll use Hugging Face to pretrain a RoBERTa model from scratch, from building the dataset to defining the data collator to training the model.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eIf 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.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThe 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).\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eYou'll see how cutting-edge platforms, such as OpenAI, have taken transformers beyond language into computer vision tasks and code creation using Codex.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eBy the end of this book, you'll know how transformers work and how to implement them and resolve issues like an AI detective!\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eFind out how ViT and CLIP label images (including blurry ones!) and create images from a sentence using DALL-E\u003c\/li\u003e\n\u003cli\u003eDiscover new techniques to investigate complex language problems\u003c\/li\u003e\n\u003cli\u003eCompare and contrast the results of GPT-3 against T5, GPT-2, and BERT-based transformers\u003c\/li\u003e\n\u003cli\u003eCarry out sentiment analysis, text summarization, casual speech analysis, machine translations, and more using TensorFlow, PyTorch, and GPT-3\u003c\/li\u003e\n\u003cli\u003eMeasure the productivity of key transformers to define their scope, potential, and limits in production\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eIf you want to learn about and apply transformers to your natural language (and image) data, this book is for you.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eYou'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!\u003c\/p\u003e\u003cbr\u003e","brand":"Packt Publishing","offers":[{"title":"Default Title","offer_id":50618358726930,"sku":"9781803247335","price":82.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_fdc50b04-90e8-4c3d-a11b-ceafcf94472a.jpg?v=1732533246","url":"https:\/\/surprise-castle.myshopify.com\/products\/transformers-for-natural-language-processing-second-edition-build-train-and-fine-tune-deep-neural-network-architectures-for-nlp-with-python-hugg-9781803247335","provider":"Surprise Castle","version":"1.0","type":"link"}