FAQs

What is the delivery time and cost of print book?

Shipping Details

USA:

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

Economy: Can deliver to P. O. Boxes and private residences.
Trackable service with delivery to addresses in Australia only.
Delivery time ranges from 7-9 business days for VIC and 8-10 business days for Interstate metro
Delivery time is up to 15 business days for remote areas of WA, NT & QLD.

Premium: Delivery to addresses in Australia only
Trackable delivery to most P. O. Boxes and private residences in Australia within 4-5 days based on the distance to a destination following dispatch.

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.

Unfortunately, due to several restrictions, we are unable to ship to the following countries:

Afghanistan
American Samoa
Belarus
Brunei Darussalam
Central African Republic
The Democratic Republic of Congo
Eritrea
Guinea-bissau
Iran
Lebanon
Libiya Arab Jamahriya
Somalia
Sudan
Russian Federation
Syrian Arab Republic
Ukraine
Venezuela

What is custom duty/charge?

Customs duty are charges levied on goods when they cross international borders. It is a tax that is imposed on imported goods. These duties are charged by special authorities and bodies created by local governments and are meant to protect local industries, economies, and businesses.

Do I have to pay customs charges for the print book order?

The orders shipped to the countries that are listed under EU27 will not bear custom charges. They are paid by Packt as part of the order.

List of EU27 countries: www.gov.uk/eu-eea:

A custom duty or localized taxes may be applicable on the shipment and would be charged by the recipient country outside of the EU27 which should be paid by the customer and these duties are not included in the shipping charges been charged on the order.

How do I know my custom duty charges?

The amount of duty payable varies greatly depending on the imported goods, the country of origin and several other factors like the total invoice amount or dimensions like weight, and other such criteria applicable in your country.

For example:

If you live in Mexico, and the declared value of your ordered items is over $ 50, for you to receive a package, you will have to pay additional import tax of 19% which will be $ 9.50 to the courier service.
Whereas if you live in Turkey, and the declared value of your ordered items is over € 22, for you to receive a package, you will have to pay additional import tax of 18% which will be € 3.96 to the courier service.

How can I cancel my order?

Cancellation Policy for Published Printed Books:

You can cancel any order within 1 hour of placing the order. Simply contact customercare@packt.com with your order details or payment transaction id. If your order has already started the shipment process, we will do our best to stop it. However, if it is already on the way to you then when you receive it, you can contact us at customercare@packt.com using the returns and refund process.

Please understand that Packt Publishing cannot provide refunds or cancel any order except for the cases described in our Return Policy (i.e. Packt Publishing agrees to replace your printed book because it arrives damaged or material defect in book), Packt Publishing will not accept returns.

What is your returns and refunds policy?

Return Policy:

We want you to be happy with your purchase from Packtpub.com. We will not hassle you with returning print books to us. If the print book you receive from us is incorrect, damaged, doesn't work or is unacceptably late, please contact Customer Relations Team on customercare@packt.com with the order number and issue details as explained below:

If you ordered (eBook, Video or Print Book) incorrectly or accidentally, please contact Customer Relations Team on customercare@packt.com within one hour of placing the order and we will replace/refund you the item cost.
Sadly, if your eBook or Video file is faulty or a fault occurs during the eBook or Video being made available to you, i.e. during download then you should contact Customer Relations Team within 14 days of purchase on customercare@packt.com who will be able to resolve this issue for you.
You will have a choice of replacement or refund of the problem items.(damaged, defective or incorrect)
Once Customer Care Team confirms that you will be refunded, you should receive the refund within 10 to 12 working days.
If you are only requesting a refund of one book from a multiple order, then we will refund you the appropriate single item.
Where the items were shipped under a free shipping offer, there will be no shipping costs to refund.

On the off chance your printed book arrives damaged, with book material defect, contact our Customer Relation Team on customercare@packt.com within 14 days of receipt of the book with appropriate evidence of damage and we will work with you to secure a replacement copy, if necessary. Please note that each printed book you order from us is individually made by Packt's professional book-printing partner which is on a print-on-demand basis.

What tax is charged?

Currently, no tax is charged on the purchase of any print book (subject to change based on the laws and regulations). A localized VAT fee is charged only to our European and UK customers on eBooks, Video and subscriptions that they buy. GST is charged to Indian customers for eBooks and video purchases.

What payment methods can I use?

You can pay with the following card types:

Visa Debit
Visa Credit
MasterCard
PayPal

What is the delivery time and cost of print books?

Shipping Details

USA:

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Unfortunately, due to several restrictions, we are unable to ship to the following countries:

Afghanistan
American Samoa
Belarus
Brunei Darussalam
Central African Republic
The Democratic Republic of Congo
Eritrea
Guinea-bissau
Iran
Lebanon
Libiya Arab Jamahriya
Somalia
Sudan
Russian Federation
Syrian Arab Republic
Ukraine
Venezuela

DEVASSYJP Aug 21, 2024

Transformer-based language models like BERT, T5, GPT, DALL-E, and ChatGPT have revolutionized natural language processing (NLP) by outperforming traditional machine learning methods in complex natural language understanding (NLU) tasks. This book explores the power of Transformers beyond NLP, diving into the rapidly growing fields of multimodal learning and generative Al with impressive results.Readers will learn to implement multimodal solutions, including text-to-image generation, and will understand the fundamentals of various transformer models. The book also covers training autoregressive language models like GPT and XLNet, boosting model performance, and tracking model training using TensorBoard. Later chapters focus on using vision transformers for computer vision problems and applying transformers to model time series data and predictions.By the end, readers will have a strong grasp of transformer models and their applications in solving challenges across NLP and computer vision. This book is an invaluable resource for those looking to enhance their expertise in thesecutting-edge technologies.

Amazon Verified review

Rohan Pandit Jun 09, 2024

Transformer-based language models like BERT, T5, GPT, DALL-E, and ChatGPT have revolutionized natural language processing (NLP) by outperforming traditional machine learning methods in complex natural language understanding (NLU) tasks. This book explores the power of Transformers beyond NLP, diving into the rapidly growing fields of multimodal learning and generative AI with impressive results.Readers will learn to implement multimodal solutions, including text-to-image generation, and will understand the fundamentals of various transformer models. The book also covers training autoregressive language models like GPT and XLNet, boosting model performance, and tracking model training using TensorBoard. Later chapters focus on using vision transformers for computer vision problems and applying transformers to model time series data and predictions.By the end, readers will have a strong grasp of transformer models and their applications in solving challenges across NLP and computer vision. This book is an invaluable resource for those looking to enhance their expertise in these cutting-edge technologies.

Soni Raju Jun 26, 2024

This book explores what readers will learn to implement multimodal solutions, including text-to-image generation, and will understand the fundamentals of various transformer models. The book also covers training autoregressive language models like GPT and XLNet, boosting model performance, and tracking model training using TensorBoard. In the end, readers will have a strong grasp of transformer models and their applications in solving challenges across NLP and computer vision. This book is an invaluable resource.

The fan is incredible with 4 different variations of air speed. Perfect for outdoors. You can just clip it on shirt or pants and you are good to go. Loved it Aug 14, 2024

This book goes through the evolution of Natural Language Processing (NLP), from traditional methods to the cutting-edge Transformer architecture. It serves as an invaluable resource for professionals and enthusiasts in machine learning, deep learning, and NLP.Key Highlights:1. From Basics to Advanced: The book starts with the foundational concepts, making it accessible for beginners, and progresses to advanced topics, ensuring that even seasoned professionals find value.2. Hands-On Approach: The authors provide practical examples and code snippets, allowing readers to experiment and implement concepts in real-time.3. Comprehensive Coverage: Topics like autoencoding language models, generative models, fine-tuning for various tasks, and the latest advancements in large language models are covered in-depth.4. Multimodal Learning: The book explores the exciting realm of multimodal learning, discussing how Transformers can be used beyond NLP, such as in computer vision and generative AI.5. Future-Proofing: With a detailed look at efficient Transformers and parameter-efficient fine-tuning, the book prepares you for the future of scalable and sustainable AI models.Whether you're a researcher, practitioner, or educator in the AI field, this book is a must-read to stay ahead in the rapidly evolving landscape of NLP and Transformers.

Banachan Aug 26, 2024

I have the 1st edition of the book and this 2nd edition is a great update to the first one to keep up with the times. If you enjoyed the 1st ed, then you don't want to miss this second update. Lots of new information given the new and rapid developments the LLM space has gone through. It continues to be a great comprehensive guide to understanding and implementing Transformer models in various artificial intelligence (AI) tasks. It provides a deep dive into the architecture of Transformers, showcasing their effectiveness across a range of areas including Natural Language Processing (NLP), computer vision, time series analysis, and multimodal tasks.It goes more into details on how Transformers is applied to time series data, covering the fundamental concepts of time series and demonstrating how it can be effectively utilized for these types of data, which many models struggle with due to their complexity. It goes into the ubiquity and superiority in handling diverse tasks compared to other architectures and their pivotal role in the rise of Generative AI within both industry and academic communities. A fun read at that.It has quite a comprehensive coverage, providing an in-depth look at the theory and application across different domains, making it a valuable resource for those interested in understanding various aspects of this powerful model architecture. There are ample practical examples through step-by-step guidance which aids in the understanding and implementation of concepts discussed. Some cutting-edge Content to keep up with the times, like current and emerging trends in generative tasks and multimodal learning.There are recent topics in this field that I thought would have been nice if included, like topics on ethics on Gen AI, deployment scenarios, emergence of small language models and what it means, how RLHF plays more into the area, how it can work with quantum computing, etc. While I am a proponent of deep dives, beginners to transformers might not get the more generalized explanations from scratch. I figured it can't be all things to all people. But an overall great read.

Mastering Transformers: The Journey from BERT to Large Language Models and Stable Diffusion , Second Edition

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