The Art and Business of Teaching Yoga (revised)
The Art and Business of Teaching Yoga (revised)

Author: Amy Ippoliti

Publisher: New World Library

Published: 2023-12-05

Total Pages: 306

ISBN-13: 1608688798

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Originally published in 2016, The Art and Business of Teaching Yoga immediately became the essential resource for those looking to start or maintain a successful career in yoga. Since then, the landscape has changed. Online yoga and social media are now a crucial part of most teachers’ repertoires. Yoga teachers also face broad cultural shifts, an evolving environmental crisis, and resulting anxiety among students, all of which bring fresh challenges to their leadership and teaching abilities. This expanded edition will help you: • plan dynamic classes, including engaging digital content • build a loyal student base and become more financially stable • optimize your own practice • maintain a marketing plan and develop a unique brand • teach yoga to facilitate ease and inspire creative action in a troubled world

The First-Year Teacher's Survival Guide
The First-Year Teacher's Survival Guide

Author: Michelle Cummings

Publisher: John Wiley & Sons

Published: 2024-04-02

Total Pages: 517

ISBN-13: 1394225539

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The quick, comprehensive, and accessible guide that new educators need to make it through the first year and thrive in the profession. The First-Year Teacher's Survival Guide provides valuable strategies, activities, and tools you need to succeed in the classroom. Now in its fifth edition, this book meets the needs of today’s K-12 teachers, updated with the latest tools, techniques, and topics that aren’t addressed in teacher education programs. Inside, you will find practical information on classroom management, professional growth, trauma-informed practices, student engagement, social-emotional learning and more. You’ll also get an essential introduction to teaching and learning in an AI-enabled world, as well as maximizing the use of digital tools, devices, and apps. With downloadable forms, templates, and additional resources available online, this book truly supports you as you enter the challenging and rewarding profession of education. Get ideas for communicating with concerned parents and caregivers Learn tips for maintaining a comfortable work-life balance and prioritizing self-care Help your students succeed with tech-integration and personalized instruction Maintain a calm, safe classroom with classroom management techniques, apps, and restorative practices Discover proven strategies for creating a positive classroom environment and, supportive relationships with students This must-have guide is filled with the information and tips new K-12 teachers need to face classroom challenges with confidence and thrive in the profession.

Prompt Engineering for Generative AI
Prompt Engineering for Generative AI

Author: James Phoenix

Publisher: "O'Reilly Media, Inc."

Published: 2024-05-16

Total Pages: 430

ISBN-13: 1098153391

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Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation. With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice. When first integrating LLMs and diffusion models into their workflows, most developers struggle to coax reliable enough results from them to use in automated systems. Authors James Phoenix and Mike Taylor show you how a set of principles called prompt engineering can enable you to work effectively with AI. Learn how to empower AI to work for you. This book explains: The structure of the interaction chain of your program's AI model and the fine-grained steps in between How AI model requests arise from transforming the application problem into a document completion problem in the model training domain The influence of LLM and diffusion model architecture—and how to best interact with it How these principles apply in practice in the domains of natural language processing, text and image generation, and code

The Hitchhiker’s Guide to AI
The Hitchhiker’s Guide to AI

Author: Arthur Goldstuck

Publisher: Pan Macmillan South africa

Published: 2023-12-01

Total Pages: 193

ISBN-13: 1770108971

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For the past decade, Arthur Goldstuck has had a front-row seat to witness the remarkable rise of AI across all sectors of business and society. As generative AI becomes a household phrase and sparks hopes and fears of machines augmenting or replacing human beings, this guide offers an invaluable overview of the past, present and future of AI. The Hitchhiker’s Guide to AI is aimed at both beginners and those who consider themselves experienced or skilled at using AI. It draws on many years of direct access to global and regional leaders in using AI, from Africa to the Middle East to North America to Europe and Asia, and it provides unique perspectives on generative AI, as well as practical advice for using it. It is useful for consumers, academics, professionals and anyone in business who wants to get up to speed quickly and practically. It also entertains and inspires anyone who is curious about AI or already engaged in its possibilities. Need to understand or refine prompting? You’re in the right place. Need to prepare for the coming impact of AI on health, travel, education and business? This is the book for you.

Enterprise GENERATIVE AI Well-Architected Framework & Patterns
Enterprise GENERATIVE AI Well-Architected Framework & Patterns

Author: Suvoraj Biswas

Publisher: Packt Publishing Ltd

Published: 2024-04-04

Total Pages: 114

ISBN-13: 1836202903

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Elevate your AI projects with our course on Enterprise Generative AI using AWS's Well-Architected Framework, paving the way for innovation and efficiency Key Features Learn to secure AI environments Achieve excellence in AI architecture Implement AI with AWS solutions Book DescriptionThe course begins with an insightful introduction to the burgeoning field of Generative AI, laying down a robust framework for understanding its applications within the AWS ecosystem. The course focuses on meticulously detailing the five pillars of the AWS Well-Architected Framework—Operational Excellence, Security, Compliance, Reliability, and Cost Optimization. Each module is crafted to provide you with a comprehensive understanding of these essential areas, integrating Generative AI technologies. You'll learn how to navigate the complexities of securing AI systems, ensuring they comply with legal and regulatory standards, and designing them for unparalleled reliability. Practical sessions on cost optimization strategies for AI projects will empower you to deliver value without compromising on performance or scalability. Furthermore, the course delves into System Architecture Excellence, emphasizing the importance of robust design principles in creating effective Generative AI solutions. The course wraps up by offering a forward-looking perspective on the Common Architectural Pattern for FM/LLM Integration & Adoption within the AWS framework. You'll gain hands-on experience with AWS solutions specifically tailored for Generative AI applications, including Lambda, API Gateway, and DynamoDB, among others.What you will learn Apply Operational Excellence in AI Secure Generative AI implementations Navigate compliance in AI solutions Ensure reliability in AI systems Optimize costs for AI projects Integrate FM/LLM with AWS solutions Who this book is for This course is designed for IT professionals, solutions architects, and DevOps engineers looking to specialize in Generative AI. A foundational understanding of AWS and cloud computing is beneficial.

Building Data-Driven Applications with LlamaIndex
Building Data-Driven Applications with LlamaIndex

Author: Andrei Gheorghiu

Publisher: Packt Publishing Ltd

Published: 2024-05-10

Total Pages: 368

ISBN-13: 1805124404

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Solve real-world problems easily with artificial intelligence (AI) using the LlamaIndex data framework to enhance your LLM-based Python applications Key Features Examine text chunking effects on RAG workflows and understand security in RAG app development Discover chatbots and agents and learn how to build complex conversation engines Build as you learn by applying the knowledge you gain to a hands-on project Book DescriptionDiscover the immense potential of Generative AI and Large Language Models (LLMs) with this comprehensive guide. Learn to overcome LLM limitations, such as contextual memory constraints, prompt size issues, real-time data gaps, and occasional ‘hallucinations’. Follow practical examples to personalize and launch your LlamaIndex projects, mastering skills in ingesting, indexing, querying, and connecting dynamic knowledge bases. From fundamental LLM concepts to LlamaIndex deployment and customization, this book provides a holistic grasp of LlamaIndex's capabilities and applications. By the end, you'll be able to resolve LLM challenges and build interactive AI-driven applications using best practices in prompt engineering and troubleshooting Generative AI projects.What you will learn Understand the LlamaIndex ecosystem and common use cases Master techniques to ingest and parse data from various sources into LlamaIndex Discover how to create optimized indexes tailored to your use cases Understand how to query LlamaIndex effectively and interpret responses Build an end-to-end interactive web application with LlamaIndex, Python, and Streamlit Customize a LlamaIndex configuration based on your project needs Predict costs and deal with potential privacy issues Deploy LlamaIndex applications that others can use Who this book is for This book is for Python developers with basic knowledge of natural language processing (NLP) and LLMs looking to build interactive LLM applications. Experienced developers and conversational AI developers will also benefit from the advanced techniques covered in the book to fully unleash the capabilities of the framework.

Automate It with Zapier and Generative AI
Automate It with Zapier and Generative AI

Author: Kelly Goss

Publisher: Packt Publishing Ltd

Published: 2023-08-25

Total Pages: 706

ISBN-13: 1803246626

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Strategize and create automated business workflows with Zapier, including AI-integrated functionalities such as the ChatGPT plugin and the OpenAI integration, to minimize repetitive tasks without using code Key Features Discover the newest Zapier features including OpenAI integration and the ChatGPT plugin Explore expert tips and real-life examples to connect 6000+ business apps and automate tasks with Zapier Learn how to manage your account effectively and troubleshoot problems with your Zaps Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionOrganizations experience significant issues with productivity when dealing with manual and repetitive tasks. Automate it with Zapier and Generative AI, second edition has been extensively revised to help you analyze your processes and identify repetitive tasks that can be automated between 6000+ cloud-based business applications. This book includes all Zapier’s newest features such as AI functionality using the ChatGPT plugin, drafts, reordering and duplicating steps and paths, subfolders and version history, as well as built-in apps such as Looping, Sub-Zap, Interfaces, Tables, and Transfer. The chapters also contain examples covering various use cases sourced from the Zapier user community. You'll learn how to implement automation in your organization along with key principles and terminology, and take the first steps toward using Zapier. As you advance, you'll learn how to use Zapier’s native functionality and all 27 built-in apps such as Filter, Paths, Formatter, Digest, and Scheduler to enable you to build multi-step Zaps. You’ll also discover how to manage your Zapier account effectively, as well as how to troubleshoot technical problems with your workflows, and use the OpenAI integration to automate AI tasks. By the end of this book, you'll be able to automate your manual and repetitive tasks using Zapier.What you will learn Think outside the box to simplify business workflows and solve productivity problems Strategize how to optimally structure and build your workflow automation in Zapier to prevent errors and excessive task usage Explore the latest built-in apps including Transfer, Interfaces, Tables, Looping, Sub-Zap, and the ChatGPT plugin Discover how to use AI-integrated apps and features with automation Create complex multi-step Zaps using logic, formatting, and calculations Effectively manage your account and troubleshoot problems with your Zaps Who this book is forThis book is for business owners, operations managers, and teams in micro, small, or medium-sized businesses looking at automating repetitive tasks and increasing their productivity using Zapier and AI-integrated features. Service providers offering digital process improvement, systemization, and automation services to their clients such as solutions architects, process consultants, business analysts, virtual assistants, CRM consultants, OBMs, bookkeepers and accountants will find this book extremely useful. Suitable for new and experienced Zapier users.

Artificial Intelligence and Cognitive Computing
Artificial Intelligence and Cognitive Computing

Author: Miltiadis D. Lytras

Publisher: MDPI

Published: 2021-09-10

Total Pages: 278

ISBN-13: 303651161X

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Artificial intelligence (AI) is a subject garnering increasing attention in both academia and the industry today. The understanding is that AI-enhanced methods and techniques create a variety of opportunities related to improving basic and advanced business functions, including production processes, logistics, financial management and others. As this collection demonstrates, AI-enhanced tools and methods tend to offer more precise results in the fields of engineering, financial accounting, tourism, air-pollution management and many more. The objective of this collection is to bring these topics together to offer the reader a useful primer on how AI-enhanced tools and applications can be of use in today’s world. In the context of the frequently fearful, skeptical and emotion-laden debates on AI and its value added, this volume promotes a positive perspective on AI and its impact on society. AI is a part of a broader ecosystem of sophisticated tools, techniques and technologies, and therefore, it is not immune to developments in that ecosystem. It is thus imperative that inter- and multidisciplinary research on AI and its ecosystem is encouraged. This collection contributes to that.