Generative AI for Cloud Solutions
Generative AI for Cloud Solutions
Architect modern AI LLMs in secure, scalable, and ethical cloud environments
About the Book
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.
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
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