Knotts R Natural Language Processing with Transformers and Python 2025

Knotts R Natural Language Processing with Transformers and Python 2025

General:

Name: Knotts R Natural Language Processing with Transformers and Python 2025
Format: pdf
Size: 4.35 MB

Book:

Title: Natural Language Processing with Transformers and Python: Practical AI Solutions
Author: Knotts, Raul
Language: angielski
Year: 2022
Subjects: Computers, Science & Technology, Engineering, Technology, Artificial Intelligence (AI), Robotics & Artificial Intelligence, Natural Language Processing & Speech Recognition/Synthesis
Publisher: Packt Publishing
ISBN: 9781803243481
Total pages: 167

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 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.

Download from RapidGator
https://rapidgator.net/file/6acd3871954a27f43ec964f5f11da19f/m6tzvnok82p6t84k496et7.pdf

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