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Denis Rothman
Transformers for Natural Language Processing
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1244514Transformers for Natural Language Processinghttps://www.gandhi.com.mx/transformers-for-natural-language-processing/phttps://gandhi.vtexassets.com/arquivos/ids/222205/11b68012-9a2c-419c-b510-fca4a807faaa.jpg?v=63833386267390000013291477MXNPackt PublishingInStock/Ebooks/1231540Transformers for Natural Language Processing13291477https://www.gandhi.com.mx/transformers-for-natural-language-processing/phttps://gandhi.vtexassets.com/arquivos/ids/222205/11b68012-9a2c-419c-b510-fca4a807faaa.jpg?v=638333862673900000InStockMXN99999DIEbook20229781803243481_W3siaWQiOiI3NzdhNWZjZi0wMmYxLTQ0Y2EtYWZiNC1hOTgyODVkZmU2MDciLCJsaXN0UHJpY2UiOjE0NzcsImRpc2NvdW50IjoxNDgsInNlbGxpbmdQcmljZSI6MTMyOSwiaW5jbHVkZXNUYXgiOnRydWUsInByaWNlVHlwZSI6Ildob2xlc2FsZSIsImN1cnJlbmN5IjoiTVhOIiwiZnJvbSI6IjIwMjQtMDQtMDhUMTY6MDA6MDBaIiwicmVnaW9uIjoiTVgiLCJpc1ByZW9yZGVyIjpmYWxzZX1d9781803243481_<p><strong>Take your NLP knowledge to the next level by working with start-of-the-art transformer models and problem-solving real-world use cases, harnessing the strengths of Hugging Face, OpenAI, AllenNLP, and Google Trax</strong></p><h4>Key Features</h4><ul><li>Pretrain a BERT-based model from scratch using Hugging Face</li><li>Fine-tune powerful transformer models, including OpenAIs GPT-3, to learn the logic of your data</li><li>Perform root cause analysis on hard NLP problems</li></ul><h4>Book Description</h4><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>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>Youll 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>If youre 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>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>Youll see how cutting-edge platforms, such as OpenAI, have taken transformers beyond language into computer vision tasks and code creation using Codex.</p><p>By the end of this book, youll know how transformers work and how to implement them and resolve issues like an AI detective!</p><h4>What you will learn</h4><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><h4>Who this book is for</h4><p>If you want to learn about and apply transformers to your natural language (and image) data, this book is for you.</p><p>A good understanding of NLP, Python, and deep learning is required 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 of this book.</p>(*_*)9781803243481_<p><b>OpenAIs 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. Purchase of the print or Kindle book includes a free eBook in PDF format</b></p><h2>Key Features</h2><ul><li>Improve your productivity with OpenAIs ChatGPT and GPT-4 from prompt engineering to creating and analyzing machine learning models</li><li>Pretrain a BERT-based model from scratch using Hugging Face</li><li>Fine-tune powerful transformer models, including OpenAIs GPT-3, to learn the logic of your data</li></ul><h2>Book Description</h2>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. Youll use Hugging Face to pretrain a RoBERTa model from scratch, from building the dataset to defining the data collator to training the model. If youre 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). Youll 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, youll know how transformers work and how to implement them and resolve issues like an AI detective.<h2>What you will learn</h2><ul><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>Find out how ViT and CLIP label images (including blurry ones!) and create images from a sentence using DALL-E</li><li>Learn the mechanics of advanced prompt engineering for ChatGPT and GPT-4</li></ul><h2>Who this book is for</h2><p>If you want to learn about and apply transformers to your natural language (and image) data, this book is for you. Youll 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 dont worry if you get stuck or have questions; this book gives you direct access to our AI/ML community to help guide you on your transformers journey!</p>...9781803243481_Packt Publishinglibro_electonico_5ea6af7e-51a8-3285-b57c-e60aa10e5277_9781803243481;9781803243481_9781803243481Denis RothmanInglésMéxicohttps://getbook.kobo.com/koboid-prod-public/packt-epub-2c19fd39-a153-4438-9415-5f31bf7f4047.epub2022-03-25T00:00:00+00:00Packt Publishing