Enterprise Guide for GenAI by Shakuntala Gupta Edward (.ePUB)+

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File Size: 24.3 MB

Enterprise Guide for Implementing Generative AI and Agentic AI: A Practical Guide to Developing, Deploying, and Operationalizing AI-Driven Applications for Enterprise Use by Shakuntala Gupta Edward, Rahul Bhattacharya, Vikas Sinha
Requirements: .ePUB, .PDF reader, 24.3 MB
Overview: Generative AI and Agentic AI together are revolutionizing the technology landscape, with profound and far-reaching impacts across industries. Organizations are increasingly adopting these technologies to drive innovation, enhance unstructured content management, and improve problem-solving capabilities. With Agentic AI, enterprises are moving towards the development of intelligent systems that can plan, reason, and act with autonomy. While early proof-of-concepts (POCs) demonstrated the potential of these technologies, the current shift is toward responsible and scalable production implementations that leverage both generative and agentic capabilities. This book begins by guiding you through the technological evolution of AI, from early Machine Learning to today’s large language models (LLMs) and agentic systems. The book also introduces essential concepts such as MLOps, LLMOps, and Responsible AI principles which are critical for transitioning the AI solutions from experimentation to production. These principles ensure that AI deployments are scalable, secure, ethical and compliant. The book concludes with key takeaways and best practices for developing, evaluating, deploying and scaling AI applications responsibly and effectively within enterprise settings. For Enterprise Software Engineers and Architects.
Genre: Non-Fiction > Tech & Devices

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