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Bestandsnummer des Verk�ufers GWSVV.1803247339.A

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Bibliografische Details

Titel: Transformers for Natural Language Processing - Second Edition: Build, train, and fine-tune deep neural network architectures for NLP with Python, Hugging Face, and OpenAI's GPT-3, ChatGPT, and GPT-4
Verlag: Packt Publishing
Ver�ffentlichungsdatum: 2022
Sprache: Englisch
ISBN-10: 1803247339
ISBN-13: 9781803247335
Bindung: Softcover
Ausgabe: 2. Auflage
Zustand: acceptable

�ber diesen Titel

Inhaltsangabe

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.

Purchase of the print or Kindle book includes a free eBook in PDF format

Key Features:

Pretrain a BERT-based model from scratch using Hugging Face
Fine-tune powerful transformer models, including OpenAI's GPT-3, to learn the logic of your data
Perform root cause analysis on hard NLP problems

Book Description:

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 Codex.

By the end of this book, you'll know how transformers work and how to implement them and resolve issues like an AI detective!

What You Will Learn:

Find out how ViT and CLIP label images (including blurry ones!) and create images from a sentence using DALL-E
Discover new techniques to investigate complex language problems
Compare and contrast the results of GPT-3 against T5, GPT-2, and BERT-based transformers
Carry out sentiment analysis, text summarization, casual speech analysis, machine translations, and more using TensorFlow, PyTorch, and GPT-3
Measure the productivity of key transformers to define their scope, potential, and limits in production

Who this book is for:

If you want to learn about and apply transformers to your natural language (and image) data, this book is for you.

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!

�ber die Autorin bzw. den Autor

Denis Rothman graduated from Sorbonne University and Paris-Diderot University, designing one of the very first word2matrix patented embedding and patented AI conversational agents. He began his career authoring one of the first AI cognitive natural language processing (NLP) chatbots applied as an automated language teacher for Mo�t et Chandon and other companies. He authored an AI resource optimizer for IBM and apparel producers. He then authored an advanced planning and scheduling (APS) solution used worldwide.

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Anbieterinformationen

Goodwill of Silicon Valley?s mission is to support our employees, our customers, and people with challenging barriers to employment; to raise their standard of living and improve their lives through our services and social enterprise. Founded in Santa Clara County in 1928, Goodwill of Silicon Valley is dedicated to improving employment opportunities, increasing standards of living, providing economic independence, and restoring our clients? sense of self-worth. We do this through workforce creation, vocational training, and environmental stewardship. With 18 retail stores, an online store, an extensive reuse/recycling operation, and our Contract Services division, we help people overcome barriers to employment, build sustainable livelihoods, and transform their lives and communities.

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