Master LLMs, transform data security, and innovate responsibly to shape the future of AIKey FeaturesSecurely deploy ChatGPT and LLMs, fine-tune them with RAG, and engineer prompts for optimal useIntegrate Responsible AI principles into your designs to ensure ethical considerations in AI solutionsExplore applications of ChatGPT and LLMs, with a focus on their impact on customer support and virtual assistantsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionIn an era where AI technologies such as ChatGPT are revolutionizing the way we interact with machines, harnessing the full potential of these technologies is crucial to thriving. Generative AI for Cloud Solutions serves as an indispensable guide to unlocking the advanced capabilities of LLMs on cloud platforms.

This book delves into the intersection of cloud computing and GenAI, guiding you through the evolution of natural language processing (NLP) and transformer architecture. You’ll explore fine-tuning to create domain-specific large language models (LLMs) and discover how retrieval augmented generations (RAGs) enhance AI capabilities by tapping into external data.

The book also covers prompt engineering strategies and the intricacies of developing and deploying LLM-based applications in the cloud. With an emphasis on security, privacy, and responsible AI development, the book concludes with insights into future trends, offering a comprehensive view of AI's transformative potential.

Real-world case studies across diverse industries will help you understand the transformative impact of generative AI. By the end of this book, you'll have acquired a deep understanding of the features of large language models and their synergy with cloud computing for innovative, efficient, and ethical AI solutions across diverse cloud-based applications.

What you will learnMaster cloud computing to develop scalable generative AI solutionsEnhance ChatGPT abilities with PEFT fine-tuning, RAG, Vector Database, LangChain, and moreExplore ChatGPT's capabilities in generating responses and engaging in conversationsMaster prompt engineering for impactful resultsImplement best practices for LLM security and data protectionAddress ethical challenges in responsibly building AI solutionsDiscover strategies and case studies for creating chatbots with LLMsWho this book is forThis book is for a wide audience, including cloud architects, data analysts, data scientists, and AI architects/managers/researchers. However, it doesn't stop there―it caters to anyone intrigued by the synergy of ChatGPT, LLMs, and cloud computing.

Whether you're just starting your AI journey or already cruising at an intermediate level, this book is crafted to captivate and enlighten. Prior AI experience is beneficial but not necessary―this book provides comprehensive coverage for all levels of expertise.

Table of ContentsCloud Computing Meets Generative AI: Bridging Infinite ImpossibilitiesNLP Evolution and Transformers: Exploring NLPs and LLMsFine Tuning: Building Domain Specific LLM ApplicationsRAGs to Riches: Elevating AI with External DataEffective Prompt Engineering Strategies: Unlocking Wisdom Through AIDeveloping and Operationalizing LLM-Based Cloud Applications: Exploring Dev Frameworks and LLMOpsDeploying ChatGPT in the Cloud: Architecture Design and Scaling StrategiesSecurity and Privacy Considerations for Gen AI: Building Safe and Secure LLMsResponsible Development of AI Solutions: Building with Integrity and CareFuture of Generative AI: Trends and Emerging Use Cases. .