FAQs

What is the digital copy I get with my Print order?

When you buy any Print edition of our Books, you can redeem (for free) the eBook edition of the Print Book you’ve purchased. This gives you instant access to your book when you make an order via PDF, EPUB or our online Reader experience.

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

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Amazon verified reviews

alla Jul 07, 2023

This compelling guide is a treasure for machine learning engineers aspiring to dive deep into working within the AWS ecosystem.It proficiently lays out the practices of model algorithms and development, from selecting the ideal design and training dataset to deploying on AWS.With the author's expertise and insightful predictions, readers are navigated through the wonders of Sagemaker, model evaluation, and future trends.Highly recommended for those ready to embark on this awesome journey.

Amazon Verified review

Steven Fernandes Aug 11, 2023

In this comprehensive guide, readers are taken on a journey through the intricacies of machine learning model optimization, starting with the selection of ideal use cases and datasets for pretraining and fine-tuning. The book stands out in its detailed discussions on harnessing the power of custom accelerators and GPUs for large-scale training. It provides a hands-on tutorial on configuring AWS and SageMaker environments for optimal performance, which many practitioners will find invaluable. One of the key highlights is the chapter on hyperparameter selection, where the relationship between model constraints and optimal settings is delved into with clarity. The sections on model and dataset distribution using various parallelism techniques offer insights into efficient data handling. Practical advice, such as how to navigate challenges like job restarts and health checks, ensures readers are well-equipped to handle real-world scenarios. Finally, the guide culminates with thorough methods to evaluate and deploy models, emphasizing both quantitative and qualitative insights, and the importance of effective runtime improvements and monitoring. A must-read for anyone keen on mastering the art of machine learning at scale.

Deep P. Jul 31, 2023

Pretrain Vision and Large Language Models in Python is a book by Emily Webber that teaches you how to train and deploy foundation models on AWS. The book covers a wide range of topics, from the basics of pretraining to the deployment of models on SageMaker.The book is well-written and easy to follow, and it includes a number of helpful resources, such as code samples, tutorials, and links to additional information. The author does a great job of explaining complex concepts in a clear and concise way, and she provides plenty of examples to help readers understand how to train and deploy foundation models on AWS.One of the things I really liked about this book is that it goes beyond just explaining the concepts. The author also provides guidance on how to use these concepts to solve real-world problems. For example, she shows how to use foundation models to build applications that can automatically generate text, translate languages, and answer questions.Overall, I thought Pretrain Vision and Large Language Models in Python was an excellent resource for anyone who wants to learn more about foundation models or who wants to use these models to build their own applications. The book is well-written, informative, and easy to follow. I highly recommend it.

Om S Jun 05, 2023

As a long-time admirer of Emily Webber and an enthusiast of SageMaker and Large Language Models (LLMs), I've been eagerly anticipating the release of this book. As a regular user of AWS, I can confidently state that this book is a substantial contribution to the advanced field of Machine Learning (ML).In the fast-paced world of ML, where LLMs are at the forefront of innovation, keeping up with the rapid advancements can be challenging. However, Emily's book, announced just before the LLM boom, provides a solid foundation that enables you to navigate these developments with ease. It has proven to be a timely resource for those keen on understanding and leveraging the power of LLMs.Book Summary:Comprehensive Coverage: The book offers an in-depth exploration of training vision and large language models, covering all stages from project ideation, dataset preparation, training, evaluation, to deployment for large language, vision, and multimodal models.Expert Guidance: Authored by Emily Webber, a seasoned AWS and machine learning expert, the book provides industry-expert guidance and practical advice, making it a valuable resource for both beginners and experienced practitioners.Practical Approach: The book is replete with practical examples and code samples that help readers understand how to pretrain and fine-tune their own foundation models on AWS and Amazon SageMaker.Bias Detection: A unique feature of the book is its focus on bias detection and pipeline monitoring, which are critical aspects of model development and deployment.Advanced Topics: The book delves into advanced topics like large-scale distributed training, hyperparameter selection, and model distribution, providing readers with a deep understanding of these complex areas.Future Trends: The final chapter on future trends in pretraining foundation models gives readers a glimpse into what's next in the field, keeping them ahead of the curve.In conclusion, if you're looking to ride the wave of LLMs and want to do so using AWS, this book is a must-read. It's more than just a guide; not a beginner's book!!! It's a comprehensive resource that empowers you to navigate the fast-paced world of ML with confidence and proficiency. Emily Webber's expertise shines through each page, making this book an invaluable asset for anyone in the field. As LLMs continue to evolve and revolutionize various sectors, this book stands as a testament to their transformative potential and a guide for those looking to be part of this exciting journey. This is just the start..... Transformers......... !!!

Pratik Bhavsar Oct 03, 2023

If you've ever wondered about the intricacies of building massive language models, this book is an absolute must-read. It's jam-packed with invaluable insights on how to harness the full power of AWS to supercharge your language model workflows. 💡While there's no shortage of high-level content on the subject, what sets this book apart is its deep dive into the nitty-gritty, low-level details that are often elusive but oh-so-critical in this field.

Pretrain Vision and Large Language Models in Python: End-to-end techniques for building and deploying foundation models on AWS

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