Singh / Karuparti Generative AI for Cloud Solutions

Architect modern AI LLMs in secure, scalable, and ethical cloud environments
1. Auflage 2024
ISBN: 978-1-83508-016-0
Verlag: De Gruyter
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 300 Seiten

Generative artificial intelligence technologies and services, including ChatGPT, are transforming our work, life, and communication landscapes. To thrive in this new era, harnessing the full potential of these technologies is crucial. Generative AI for Cloud Solutions is a comprehensive guide to understanding and using Generative AI within cloud platforms.
This book covers the basics of cloud computing and Generative AI/ChatGPT, addressing scaling strategies and security concerns. With its help, you'll be able to apply responsible AI practices and other methods such as fine-tuning, RAG, autonomous agents, LLMOps, and Assistants APIs. As you progress, you'll learn how to design and implement secure and scalable ChatGPT solutions on the cloud, while also gaining insights into the foundations of building conversational AI, such as chatbots. This process will help you customize your AI applications to suit your specific requirements.
By the end of this book, you'll have gained a solid understanding of the capabilities of Generative AI and cloud computing, empowering you to develop efficient and ethical AI solutions for a variety of applications and services.

Autoren/Hrsg.

Singh, Paul

Karuparti, Anurag

Weitere Mitwirkende

Maeda, John

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Rechnerarchitektur
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Table of Contents - Cloud Computing Meets Generative AI: Bridging Infinite Impossibilities
- NLP Evolution and Transformers: Exploring NLPs and LLMs
- Fine Tuning: Building Domain Specific LLM Applications
- RAGs to Riches: Elevating AI with External Data
- Effective Prompt Engineering Strategies: Unlocking Wisdom Through AI
- Developing and Operationalizing LLM-Based Cloud Applications: Exploring Dev Frameworks and LLMOps
- Deploying ChatGPT in the Cloud: Architecture Design and Scaling Strategies
- Security and Privacy Considerations for Gen AI: Building Safe and Secure LLMs
- Responsible Development of AI Solutions: Building with Integrity and Care
- Future of Generative AI: Trends and Emerging Use Cases

Über Autor(innen)

Singh Paul :

Paul Singh is currently a Principal Cloud Solution Architect (CSA), working at Microsoft for over 10 years. Having been selected as the very first ten CSA's the role was first created, Paul helped shape the role ever since, including being on the national hiring committee(s) as well as helping create the very first Azure Architecture Exam. Paul has earned many honors and awards along the way, while also gaining over 30 different technical certifications, and helping some of the largest Cloud customers with complex scenarios and solutions.Karuparti Anurag :

Anurag Karuparti is a seasoned Senior Cloud Solution Architect specializing in AI at Microsoft's Azure practice. Anurag holds a Master's degree in Information Management(Data Science) from Syracuse University, and has a background in Computer Engineering. With over 10 years of experience in the industry, Anurag has become a trusted expert in the fields of Cloud, data, and advanced analytics. Anurag holds multiple Azure Certifications and is certified across major cloud platforms. Throughout his career, he has successfully designed and implemented cutting-edge solutions, leveraging the power of artificial intelligence to drive innovation and transform businesses. Prior to joining Microsoft, Anurag gained valuable experience working as a manager in the Emerging Technologies practices of renowned consulting firms such as EY and PwC.