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Machine Learning in Microservices Productionizing microservices architecture ...

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Machine Learning in Microservices Productionizing microservices architecture for machine learning solutions

Machine Learning in Microservices Productionizing microservices architecture for machine learning solutions

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Info:

  • Title: Mastering_Linux_Security_and_Hardening_Third Edition
    Pages: 270
    Author: Donald A. Tevault
    Language: English
    Year: 2022
    Subjects: COM046070 - COMPUTERS / Operating Systems / Linux, COM043050 - COMPUTERS / Security / Networking, COM043040 - COMPUTERS / Networking / Network Protocols
    Category: Word Processing Books, Computer Neural Networks, Natural Language Processing
    Publisher: Packt
    ISBN: ‎ 978-1803247335

Description:
OpenAI's GPT-3 and Hugging Face transformers for language tasks in one book. Plus, get a taste of the future of transformers, including computer vision tasks and code writing and assistance with Codex and GitHub Copilot.
BONUS OpenAI GPT-3 notebooks in the book's GitHub repository, including how to boost your productivity using ChatGPT as a cobot (collaborative bot) and how to implement ChatGPT with the OpenAI API.
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!

Table of Contents

  • What are Transformers?
    Getting Started with the Architecture of the Transformer Model
    Fine-Tuning BERT Models
    Pretraining a RoBERTa Model from Scratch
    Downstream NLP Tasks with Transformers
    Machine Translation with the Transformer
    The Rise of Suprahuman Transformers with GPT-3 Engines
    Applying Transformers to Legal and Financial Documents for AI Text Summarization

(N.B. Please use the Look Inside option to see further chapters)

Files:
9781804617748 MACHINE_LEARNING_IN_MICROSERVICES.pdf (12.4 MB)

9781837630516.epub (17.19 MB)

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Farid salamat sa pag contribute. Next time always upload your files sa
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para siguradong di ma dedeadlink. Let's keep on sharing to keep our community running for good. This community is built for you and everyone to share freely. Let's invite more contributors para mabalik natin sigla ng Mobilarian at tuloy ang puyatan. :)
 
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