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[booksz]

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[booksz]

Bill Bryson, "Bryson's Dictionary of Troublesome Words: A Writer's Guide to Getting It Right"
English | ISBN: 0767910435 | 2004 | 256 pages | AZW3 | 427 KB
One of the English language's most skilled and beloved writers guides us all toward precise, mistake-free grammar.

As usual Bill Bryson says it best: "English is a dazzlingly idiosyncratic tongue, full of quirks and irregularities that often seem willfully at odds with logic and common sense. This is a language where 'cleave' can mean to cut in half or to hold two halves together; where the simple word 'set' has 126 different meanings as a verb, 58 as a noun, and 10 as a participial adjective; where if you can run fast you are moving swiftly, but if you are stuck fast you are not moving at all; [and] where 'colonel,' 'freight,' 'once,' and 'ache' are strikingly at odds with their spellings." As a copy editor for the London Times in the early 1980s, Bill Bryson felt keenly the lack of an easy-to-consult, authoritative guide to avoiding the traps and snares in English, and so he brashly suggested to a ✅Publisher that he should write one. Surprisingly, the proposition was accepted, and for "a sum of money carefully gauged not to cause embarrassment or feelings of overworth," he proceeded to write that book-his first, inaugurating his stellar career.
Now, a decade and a half later, revised, updated, and thoroughly (but not overly) Americanized, it has become
Read more

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[booksz]

Budget Gluten Free: Over 100 Easy and Affordable Recipes for Every Day by Becky Excell
English | February 13th, 2025 | ISBN: 180409076X | 224 pages | True EPUB | 91.28 MB
Shop, cook and eat gluten-free on a budget with over 100 simple, flavoursome recipes.

By using fresh, cost-conscious ingredients, making the most of ever-affordable pantry staples and sharing practical, easy-to-follow knowledge, Budget Gluten Free showcases how you can make the most of your weekly shop and live gluten-free for less.
Budget Gluten Free celebrates delicious dinners, exciting on-the-go lunches, decadent desserts and bakes (which won't break the bank), all while providing dairy-free, lactose-free, low FODMAP, veggie and vegan options wherever possible. This deliciously varied collection of recipes will also show you how to harness the cost-saving benefits of putting your freezer to work, as well as small appliances, such as slow cookers and air fryers. So, prepare to indulge in favourites such as Crispy Fried Chicken with Spicy Rice or even a Yorkshire Pudding Wrap, as well as classics like Cheese-stuffed Crispy Pancakes, One-pan Lasagne and Air Fryer-friendly Stuffed Crust Pizza; if you fancy something sweet, there are cakes, cookies and plenty of budget-friendly bakes and desserts that are fit for all occasions.
Multi-award winning and Sunday Times Bestselling author Becky Excell has spent years developing flavoursome gluten-free recipes - next she wants to show you how to enjoy following a gluten-free diet with budget in mind. This is the essential guide to everyday, gluten-free cooking on a budget, from the 'Queen of Gluten Free'.

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[booksz]

Buffett and Munger Unscripted: Three Decades of Investment and Business Insights from the Berkshire Hathaway Annual Shareholder Meetings by Alex W. Morris
English | January 21st, 2025 | ISBN: 1804090670 | 480 pages | True EPUB | 2.40 MB
For decades, thousands of people have gathered in Omaha, Nebraska for the Berkshire Hathaway AGM, and quizzed Warren Buffett and Charlie Munger on everything from the psychology of successful investors to the future of Coca-Cola and Apple. But unless you attended, for decades you only had access to what people remembered and reported back from Omaha.

In 2018, Berkshire released the archives of the annual meetings going back to 1994. Alex Morris―an equities analyst and financial writer at the TSOH Investment Research Service―watched hundreds of hours of video from these annual meetings (as well as the six AGMs held since 2018), covering more than 1,700 questions asked by shareholders over the past 31 years. He then gathered, organized and edited the most interesting material into a comprehensive and accessible form.
Buffett and Munger Unscripted is the result.
From the art of intelligent capital allocation to the best ways to judge and compensate management, from understanding the nature of markets to embracing the power of long-term time horizons, this is a book with compelling insights on every page. In addition to collecting many famous quotes in their original context, it is a deep treasure trove of profound insights on all aspects of investing and business.
Discover the importance of avoiding difficult decisions, the first question you should ask on a potential new investment, how to recover from unsuccessful investments, the importance of finding the right owners to partner with, Buffett and Munger's book recommendations―and much more.
The perfect companion to The Essays of Warren Buffett: Lessons for Corporate America and Poor Charlie's Almanack, Buffett and Munger Unscripted belongs on the bookshelf of everyone interested in the keys to success in business and investing.
Note: Alex will donate 50% of his net proceeds from "Unscripted" to GLIDE, a charitable organization that Warren Buffett has supported for years. While his philanthropic endeavors are not the focus of this book, that is another part of Warren's life where he has been a role model.

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[booksz]

Talk To Me In Korean, "Build & Extend Your Korean Sentences: A Comprehensive Guide to Understanding Korean Sentence Structures and Writing Longer Sentences for Beginners and Intermediate Learners, with Writing and Grammar Exercises, Vocabulary Lists, and Speaking Practices"
English | 2021 | ASIN: B098KK9JWX | PDF | pages: 276 | 6.2 mb
Get a better understanding of Korean sentence structures, and write more flexible and progressively longer Korean sentences with confidence!

Book contents:
- 30 commonly used Korean sentence structures for beginners and intermediate learners, which get progressively longer and more complex throughout the book
- Verb conjugation practice, extension practice, and speaking practice for each sentence structure
- Korean Language Basics for previewing grammar points that are used in the book
- Key vocabulary lists
- Free MP3 audio files, recorded by native speakers (can be downloaded from the TTMIK official website or mobile app)

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[booksz]

Build a Large Language Model (From Scratch) by Sebastian Raschka
English | October 29, 2024 | ISBN: 1633437167 | 368 pages | PDF | 6.53 Mb
Learn how to create, train, and tweak large language models (LLMs) by building one from the ground up!

In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You'll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks.
Build a Large Language Model (from Scratch) teaches you how to:
* Plan and code all the parts of an LLM
* Prepare a dataset suitable for LLM training
* Fine-tune LLMs for text classification and with your own data
* Use human feedback to ensure your LLM follows instructions
* Load pretrained weights into an LLM
Build a Large Language Model (from Scratch) takes you inside the AI black box to tinker with the internal systems that power generative AI. As you work through each key stage of LLM creation, you'll develop an in-depth understanding of how LLMs work, their limitations, and their customization methods. Your LLM can be developed on an ordinary laptop, and used as your own personal assistant.
Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications.
About the technology
Physicist Richard P. Feynman reportedly said, "I don't understand anything I can't build." Based on this same powerful principle, bestselling author Sebastian Raschka guides you step by step as you build a GPT-style LLM that you can run on your laptop. This is an engaging book that covers each stage of the process, from planning and coding to training and fine-tuning.
About the book
Build a Large Language Model (From Scratch) is a practical and eminently-satisfying hands-on journey into the foundations of generative AI. Without relying on any existing LLM libraries, you'll code a base model, evolve it into a text classifier, and ultimately create a chatbot that can follow your conversational instructions. And you'll really understand it because you built it yourself!
What's inside
* Plan and code an LLM comparable to GPT-2
* Load pretrained weights
* Construct a complete training pipeline
* Fine-tune your LLM for text classification
* Develop LLMs that follow human instructions
About the reader
Readers need intermediate Python skills and some knowledge of machine learning. The LLM you create will run on any modern laptop and can optionally utilize GPUs.
About the author
Sebastian Raschka is a Staff Research Engineer at Lightning AI, where he works on LLM research and develops open-source software.
The technical editor on this book was David Caswell.
Table of Contents
1 Understanding large language models
2 Working with text data
3 Coding attention mechanisms
4 Implementing a GPT model from scratch to generate text
5 Pretraining on unlabeled data
6 Fine-tuning for classification
7 Fine-tuning to follow instructions
A Introduction to PyTorch
B References and further reading
C Exercise solutions
D Adding bells and whistles to the training loop
E Parameter-efficient fine-tuning with LoRA

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[booksz]

Build a Large Language Model (From Scratch) by Sebastian Raschka
English | October 29, 2024 | ISBN: 1633437167 | 368 pages | MOBI | 13 Mb
Learn how to create, train, and tweak large language models (LLMs) by building one from the ground up!

In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You'll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks.
Build a Large Language Model (from Scratch) teaches you how to:
* Plan and code all the parts of an LLM
* Prepare a dataset suitable for LLM training
* Fine-tune LLMs for text classification and with your own data
* Use human feedback to ensure your LLM follows instructions
* Load pretrained weights into an LLM
Build a Large Language Model (from Scratch) takes you inside the AI black box to tinker with the internal systems that power generative AI. As you work through each key stage of LLM creation, you'll develop an in-depth understanding of how LLMs work, their limitations, and their customization methods. Your LLM can be developed on an ordinary laptop, and used as your own personal assistant.
Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications.
About the technology
Physicist Richard P. Feynman reportedly said, "I don't understand anything I can't build." Based on this same powerful principle, bestselling author Sebastian Raschka guides you step by step as you build a GPT-style LLM that you can run on your laptop. This is an engaging book that covers each stage of the process, from planning and coding to training and fine-tuning.
About the book
Build a Large Language Model (From Scratch) is a practical and eminently-satisfying hands-on journey into the foundations of generative AI. Without relying on any existing LLM libraries, you'll code a base model, evolve it into a text classifier, and ultimately create a chatbot that can follow your conversational instructions. And you'll really understand it because you built it yourself!
What's inside
* Plan and code an LLM comparable to GPT-2
* Load pretrained weights
* Construct a complete training pipeline
* Fine-tune your LLM for text classification
* Develop LLMs that follow human instructions
About the reader
Readers need intermediate Python skills and some knowledge of machine learning. The LLM you create will run on any modern laptop and can optionally utilize GPUs.
About the author
Sebastian Raschka is a Staff Research Engineer at Lightning AI, where he works on LLM research and develops open-source software.
The technical editor on this book was David Caswell.
Table of Contents
1 Understanding large language models
2 Working with text data
3 Coding attention mechanisms
4 Implementing a GPT model from scratch to generate text
5 Pretraining on unlabeled data
6 Fine-tuning for classification
7 Fine-tuning to follow instructions
A Introduction to PyTorch
B References and further reading
C Exercise solutions
D Adding bells and whistles to the training loop
E Parameter-efficient fine-tuning with LoRA

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[booksz]

Build a Large Language Model (From Scratch) by Sebastian Raschka
English | October 29, 2024 | ISBN: 1633437167 | 368 pages | EPUB | 13 Mb
Learn how to create, train, and tweak large language models (LLMs) by building one from the ground up!

In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You'll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks.
Build a Large Language Model (from Scratch) teaches you how to:
* Plan and code all the parts of an LLM
* Prepare a dataset suitable for LLM training
* Fine-tune LLMs for text classification and with your own data
* Use human feedback to ensure your LLM follows instructions
* Load pretrained weights into an LLM
Build a Large Language Model (from Scratch) takes you inside the AI black box to tinker with the internal systems that power generative AI. As you work through each key stage of LLM creation, you'll develop an in-depth understanding of how LLMs work, their limitations, and their customization methods. Your LLM can be developed on an ordinary laptop, and used as your own personal assistant.
Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications.
About the technology
Physicist Richard P. Feynman reportedly said, "I don't understand anything I can't build." Based on this same powerful principle, bestselling author Sebastian Raschka guides you step by step as you build a GPT-style LLM that you can run on your laptop. This is an engaging book that covers each stage of the process, from planning and coding to training and fine-tuning.
About the book
Build a Large Language Model (From Scratch) is a practical and eminently-satisfying hands-on journey into the foundations of generative AI. Without relying on any existing LLM libraries, you'll code a base model, evolve it into a text classifier, and ultimately create a chatbot that can follow your conversational instructions. And you'll really understand it because you built it yourself!
What's inside
* Plan and code an LLM comparable to GPT-2
* Load pretrained weights
* Construct a complete training pipeline
* Fine-tune your LLM for text classification
* Develop LLMs that follow human instructions
About the reader
Readers need intermediate Python skills and some knowledge of machine learning. The LLM you create will run on any modern laptop and can optionally utilize GPUs.
About the author
Sebastian Raschka is a Staff Research Engineer at Lightning AI, where he works on LLM research and develops open-source software.
The technical editor on this book was David Caswell.
Table of Contents
1 Understanding large language models
2 Working with text data
3 Coding attention mechanisms
4 Implementing a GPT model from scratch to generate text
5 Pretraining on unlabeled data
6 Fine-tuning for classification
7 Fine-tuning to follow instructions
A Introduction to PyTorch
B References and further reading
C Exercise solutions
D Adding bells and whistles to the training loop
E Parameter-efficient fine-tuning with LoRA

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[booksz]

Build a Large Language Model (From Scratch) by Sebastian Raschka
English | October 29, 2024 | ISBN: 1633437167 | 368 pages | PDF | 66 Mb
Learn how to create, train, and tweak large language models (LLMs) by building one from the ground up!

In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You'll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks.
Build a Large Language Model (from Scratch) teaches you how to:
* Plan and code all the parts of an LLM
* Prepare a dataset suitable for LLM training
* Fine-tune LLMs for text classification and with your own data
* Use human feedback to ensure your LLM follows instructions
* Load pretrained weights into an LLM
Build a Large Language Model (from Scratch) takes you inside the AI black box to tinker with the internal systems that power generative AI. As you work through each key stage of LLM creation, you'll develop an in-depth understanding of how LLMs work, their limitations, and their customization methods. Your LLM can be developed on an ordinary laptop, and used as your own personal assistant.
Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications.
About the technology
Physicist Richard P. Feynman reportedly said, "I don't understand anything I can't build." Based on this same powerful principle, bestselling author Sebastian Raschka guides you step by step as you build a GPT-style LLM that you can run on your laptop. This is an engaging book that covers each stage of the process, from planning and coding to training and fine-tuning.
About the book
Build a Large Language Model (From Scratch) is a practical and eminently-satisfying hands-on journey into the foundations of generative AI. Without relying on any existing LLM libraries, you'll code a base model, evolve it into a text classifier, and ultimately create a chatbot that can follow your conversational instructions. And you'll really understand it because you built it yourself!
What's inside
* Plan and code an LLM comparable to GPT-2
* Load pretrained weights
* Construct a complete training pipeline
* Fine-tune your LLM for text classification
* Develop LLMs that follow human instructions
About the reader
Readers need intermediate Python skills and some knowledge of machine learning. The LLM you create will run on any modern laptop and can optionally utilize GPUs.
About the author
Sebastian Raschka is a Staff Research Engineer at Lightning AI, where he works on LLM research and develops open-source software.
The technical editor on this book was David Caswell.
Table of Contents
1 Understanding large language models
2 Working with text data
3 Coding attention mechanisms
4 Implementing a GPT model from scratch to generate text
5 Pretraining on unlabeled data
6 Fine-tuning for classification
7 Fine-tuning to follow instructions
A Introduction to PyTorch
B References and further reading
C Exercise solutions
D Adding bells and whistles to the training loop
E Parameter-efficient fine-tuning with LoRA

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[booksz]

Build a Large Language Model (From Scratch) by Sebastian Raschka
English | October 29, 2024 | ISBN: 1633437167 | 368 pages | PDF | 33 Mb
Learn how to create, train, and tweak large language models (LLMs) by building one from the ground up!

In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You'll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks.
Build a Large Language Model (from Scratch) teaches you how to:
* Plan and code all the parts of an LLM
* Prepare a dataset suitable for LLM training
* Fine-tune LLMs for text classification and with your own data
* Use human feedback to ensure your LLM follows instructions
* Load pretrained weights into an LLM
Build a Large Language Model (from Scratch) takes you inside the AI black box to tinker with the internal systems that power generative AI. As you work through each key stage of LLM creation, you'll develop an in-depth understanding of how LLMs work, their limitations, and their customization methods. Your LLM can be developed on an ordinary laptop, and used as your own personal assistant.
Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications.
About the technology
Physicist Richard P. Feynman reportedly said, "I don't understand anything I can't build." Based on this same powerful principle, bestselling author Sebastian Raschka guides you step by step as you build a GPT-style LLM that you can run on your laptop. This is an engaging book that covers each stage of the process, from planning and coding to training and fine-tuning.
About the book
Build a Large Language Model (From Scratch) is a practical and eminently-satisfying hands-on journey into the foundations of generative AI. Without relying on any existing LLM libraries, you'll code a base model, evolve it into a text classifier, and ultimately create a chatbot that can follow your conversational instructions. And you'll really understand it because you built it yourself!
What's inside
* Plan and code an LLM comparable to GPT-2
* Load pretrained weights
* Construct a complete training pipeline
* Fine-tune your LLM for text classification
* Develop LLMs that follow human instructions
About the reader
Readers need intermediate Python skills and some knowledge of machine learning. The LLM you create will run on any modern laptop and can optionally utilize GPUs.
About the author
Sebastian Raschka is a Staff Research Engineer at Lightning AI, where he works on LLM research and develops open-source software.
The technical editor on this book was David Caswell.
Table of Contents
1 Understanding large language models
2 Working with text data
3 Coding attention mechanisms
4 Implementing a GPT model from scratch to generate text
5 Pretraining on unlabeled data
6 Fine-tuning for classification
7 Fine-tuning to follow instructions
A Introduction to PyTorch
B References and further reading
C Exercise solutions
D Adding bells and whistles to the training loop
E Parameter-efficient fine-tuning with LoRA

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[booksz]

Build a WordPress Website From Scratch 2025:
Step-by-step, How to Use WordPress Appearance and Themes Hosting, WooCommerce, SEO, and more
English | 2024 | ASIN : B0DPXXVKFH | 260 Pages | MOBI | 5 MB

The difference of this book is that it does not require any prior knowledge in web programming, because WordPress allows anyone to create their own website without the need to know how to program. WordPress offers simplified methods to create complete websites with management done through a control panel. The book explains step by step how to use these features and how to customize the site according to the preferences of the reader. With no code (but if you want some code, the sky is the limit.)

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[booksz]

Michael Dormandy, "Building a Book of Books: Textual Characteristics of the Early Greek Majuscule Pandects "
English | ISBN: 3110994577 | 2024 | 392 pages | EPUB, PDF | 5 MB + 3 MB
This book analyses how the early Greek whole-Bible manuscripts (pandects) change and preserve the text. Dormandy refutes the method based on singular readings and so investigates all the ways in which each pandect differs from the initial text, both changes introduced by its own scribe and by the scribes of earlier manuscripts. He surveys sample chapters in John, Romans, Revelation, Sirach and Judges (including discussing the "new finds" of Sinaiticus). Dormandy's observations of Codex Ephraemi challenge accepted transcriptions. Dormandy argues that Sinaiticus and Vaticanus may plausibly have been made in response to commissions by Constantine and Constans. Dormandy concludes that generally, across all the Biblical books considered, the pandects preserve the initial text well. Transcriptional and linguistic variations are more common than harmonisations or changes of content. The more precise profiles of each manuscript vary between Biblical books. The pandects thus create bibliographic unity from textual diversity. This shows their significance in the history of the Christian Bible: they reflect in bibliographic form the hermeneutical move to consider all the books of the Christian Bible as one corpus.

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[booksz]

Building a Five-Star Relationship with Your Horse: Using the Five Domains of Animal Welfare
English | 2025 | ISBN: 1032488743 | 150 Pages | PDF EPUB (True) | 24 MB
The Five Domains of Animal Welfare, when applied to horses, can act as a safe, reliable source of advice and information for conscientious owners, and also a benchmark by which the practices of the more experienced can be measured, scrutinised and held to account. They provide standards to be met rather than levels to be tolerated.

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[booksz]

Building a God
by Christopher DiCarlo
English | January 21, 2025 | ISBN: 1493085891 | 405 Pages | True epub | 6,62 MB

Renowned ethicist provides essential guide to successfully navigating the future AI landscape
In Building a God, Christopher DiCarlo explores the profound implications of artificial intelligence surpassing human intelligence-a destiny that seems not just possible, but inevitable. At this critical crossroad in our evolutionary history, DiCarlo, a renowned ethicist in AI, delves into the ethical mazes and technological quandaries of our future interactions with superior AI entities.
From healthcare enhancements to the risks of digital manipulation, this book scrutinizes AI's dual potential to elevate or devastate humanity. DiCarlo advocates for robust global governance of AI, proposing visionary policies to safeguard our society.
AI will positively impact our lives in myriad ways: from healthcare to education, manufacturing to sustainability, AI-powered tools will improve productivity and add ease to the most massive global industries and to our own personal daily routines alike. But, we have already witnessed the tip of the iceberg when it comes to the risks of this new technology: AI algorithms can manipulate human behavior, spread disinformation, shape public opinion, and impact democratic processes. Sophisticated technologies such as GPT-4, Dall-E 2, and video Deepfakes allow users to create, distort, and alter information. Perhaps more troubling is the foundational lack of transparency in both the utilization and design of AI models.
What ethical precepts should be determined for AI, and by whom? And what will happen if rogue abusers decide not to comply with such ethical guidelines? How should we enforce these precepts? Should the UN develop a Charter or Accord which all member states agree to and sign off on? Should governments develop a form of international regulative body similar to the International Atomic Energy Agency (IAEA) which regulates not only the use of nuclear energy, but nuclear weaponry as well?
In this incisive and cogent meditation on the future of AI, DiCarlo argues for the ethical governance of AI by identifying the key components, obstacles, and points of progress gained so far by the global community, and by putting forth thoughtful and measured policies to regulate this dangerous technology.
eBook Details:
Christopher DiCarlo
405 Pages
9 - 10 Hours to read
125k Total words
Release Date: January 21, 2025
ISBN-13: 9781493085897
ISBN-10: 1493085891
Language: English
Format: epub
✅File Size: 6,62 MB

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Building a God: The Ethics of Artificial Intelligence and the Race to Control It by Christopher DiCarlo
English | January 21st, 2025 | ISBN: 1493085883 | 376 pages | True EPUB (Retail Copy) | 7.60 MB
Renowned ethicist provides essential guide to successfully navigating the future AI landscape

In Building a God, Christopher DiCarlo explores the profound implications of artificial intelligence surpassing human intelligence-a destiny that seems not just possible, but inevitable. At this critical crossroad in our evolutionary history, DiCarlo, a renowned ethicist in AI, delves into the ethical mazes and technological quandaries of our future interactions with superior AI entities.
From healthcare enhancements to the risks of digital manipulation, this book scrutinizes AI's dual potential to elevate or devastate humanity. DiCarlo advocates for robust global governance of AI, proposing visionary policies to safeguard our society.
AI will positively impact our lives in myriad ways: from healthcare to education, manufacturing to sustainability, AI-powered tools will improve productivity and add ease to the most massive global industries and to our own personal daily routines alike. But, we have already witnessed the tip of the iceberg when it comes to the risks of this new technology: AI algorithms can manipulate human behavior, spread disinformation, shape public opinion, and impact democratic processes. Sophisticated technologies such as GPT-4, Dall-E 2, and video Deepfakes allow users to create, distort, and alter information. Perhaps more troubling is the foundational lack of transparency in both the utilization and design of AI models.
What ethical precepts should be determined for AI, and by whom? And what will happen if rogue abusers decide not to comply with such ethical guidelines? How should we enforce these precepts? Should the UN develop a Charter or Accord which all member states agree to and sign off on? Should governments develop a form of international regulative body similar to the International Atomic Energy Agency (IAEA) which regulates not only the use of nuclear energy, but nuclear weaponry as well?
In this incisive and cogent meditation on the future of AI, DiCarlo argues for the ethical governance of AI by identifying the key components, obstacles, and points of progress gained so far by the global community, and by putting forth thoughtful and measured policies to regulate this dangerous technology.

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Building AI-Powered Products: The Essential Guide to AI and GenAI Product Management
English | 2025 | ISBN: 1098152700 | 252 Pages | EPUB | 10 MB
Drawing from her experience at Google and Meta, Dr. Marily Nika delivers the definitive guide for product managers building AI-powered products. Packed with smart strategies, actionable tools, and real-world examples, this book breaks down the complex world of AI into a playbook for driving innovation, solving user problems, and unlocking business growth.

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