Sumit Kumar

The Itch You Can't Scratch

Utpal Chakraborty

Soumyadeep Roy

Everything you need to know about the next generation Generative AI tool and ChatGPT KEY FEATURES ● Get familiar with the technical aspects of Generative AI and ChatGPT. ● Understand how you can implement Generative AI and ChatGPT in your organization. ● Explore use cases of Generative AI and ChatGPT in various industries and businesses, such as healthcare, finance, retail, network security, and more. DESCRIPTION Generative AI and ChatGPT have the potential to transform industries and society by improving efficiency, enhancing creativity, and enabling more personalized experiences. If you are someone who is looking to stay ahead of the curve in this rapidly evolving digital age and utilize its potential, this book is for you. This book gives a comprehensive overview of Generative AI and ChatGPT, the cutting-edge technologies that have gained significant attention in recent times. The book aims to provide a thorough understanding of these technologies, architectures, and training methods, including their background, development process, and current state. The book helps discover innovative ways in which these technologies have been implemented to achieve measurable benefits, including improved efficiency, customer satisfaction, security, and revenue growth and its potential application across different industries and use cases. The book also explores the challenges and considerations that organizations must take into account when implementing Generative AI and ChatGPT with existing limitations. Towards the end, the book provides insights into the substantial improvements and advancements in these technologies. It also helps you identify several areas for further research and development that could enhance the capabilities of ChatGPT in the near future. WHAT YOU WILL LEARN ● Explore how different industries and domains are using ChatGPT. ● Understand how content creators and marketing industries can benefit from using ChatGPT. ● Learn how to benefit from the problem-solving abilities of ChatGPT. ● Understand how ChatGPT can be used in various coding areas. ● Get familiar with the recent advancements in ChatGPT. WHO THIS BOOK IS FOR This book is for individuals and groups interested in AI and its practical applications in the business world. Business leaders, entrepreneurs, researchers, academicians, data scientists, Machine Learning engineers, and other professionals working in the field of AI can all find value in the book's insights into the latest technological advancements and how they can be leveraged to achieve business goals. TABLE OF CONTENTS 1. Introduction to ChatGPT 2. History Of Generative Models 3. Generative AI in Banking and Finance 4. Regulatory and Legal aspects of Generative AI 5. Generative AI and ChatGPT for Government Departments 6. Authenticity AI generated content 7. ChatGPT Technical Overview: Introduction 8. Brief of top other NLP models 9. Historical flow and development of GPT series 10. API Pricing model and technical limitations of ChatGPT 11. Customer Journey in ChatGPT free version UI 12. Use Cases in Modern Era: Introduction 13. Use case in Content-marketing 14. Education and e-learning abilities 15. Use case in Entertainments purposes 16. Potential of ChatGPT in Coding and Programming 17. Problem solving abilities (Quantitative) 18. Problem solving abilities (Qualitative) 19. Use cases Financial Industry 20. Use cases in Healthcare Industry 21. Use cases in E-commerce Industry 22. Use cases in Hospitality Industry 23. Problem solving abilities of ChatGPT 24. How beginner start ChatGPT for problem-solving 25. ChatGPT for National Cyber Security and TechnoPolicy 26. Use cases in edtech industry 27. Potential of ChatGPT in Research work 28. Potential of ChatGPT in Coding and Programming 29. Recent advancements that are made in ChatGPT 30. ChatGPT and the market right now 31. Generative AI and Chatgpt Help India G20 Summit 32. GPT- 4 33. Future scope of ChatGPT

Understand how Generative AI and ChatGPT are transforming and reshaping the business world (English Edition)

Rise of Generative AI and ChatGPT

Sourav Gulati

Unleash the data processing and analytics capability of Apache Spark with the language of choice: Java About This Book Perform big data processing with Spark—without having to learn Scala! Use the Spark Java API to implement efficient enterprise-grade applications for data processing and analytics Go beyond mainstream data processing by adding querying capability, Machine Learning, and graph processing using Spark Who This Book Is For If you are a Java developer interested in learning to use the popular Apache Spark framework, this book is the resource you need to get started. Apache Spark developers who are looking to build enterprise-grade applications in Java will also find this book very useful. What You Will Learn Process data using different file formats such as XML, JSON, CSV, and plain and delimited text, using the Spark core Library. Perform analytics on data from various data sources such as Kafka, and Flume using Spark Streaming Library Learn SQL schema creation and the analysis of structured data using various SQL functions including Windowing functions in the Spark SQL Library Explore Spark Mlib APIs while implementing Machine Learning techniques to solve real-world problems Get to know Spark GraphX so you understand various graph-based analytics that can be performed with Spark In Detail Apache Spark is the buzzword in the big data industry right now, especially with the increasing need for real-time streaming and data processing. While Spark is built on Scala, the Spark Java API exposes all the Spark features available in the Scala version for Java developers. This book will show you how you can implement various functionalities of the Apache Spark framework in Java, without stepping out of your comfort zone. The book starts with an introduction to the Apache Spark 2.x ecosystem, followed by explaining how to install and configure Spark, and refreshes the Java concepts that will be useful to you when consuming Apache Spark's APIs. You will explore RDD and its associated common Action and Transformation Java APIs, set up a production-like clustered environment, and work with Spark SQL. Moving on, you will perform near-real-time processing with Spark streaming, Machine Learning analytics with Spark MLlib, and graph processing with GraphX, all using various Java packages. By the end of the book, you will have a solid foundation in implementing components in the Spark framework in Java to build fast, real-time applications. Style and approach This practical guide teaches readers the fundamentals of the Apache Spark framework and how to implement components using the Java language. It is a unique blend of theory and practical examples, and is written in a way that will gradually build your knowledge of Apache Spark.

Sumit Kumar

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