En savoir plus
Generative AI has the potential to innovate and evolve business processes, but workers are still figuring out how to build with, optimize, and prompt GenAI tools to fit their needs. And of course, there are pitfalls to avoid, like security risks and hallucinations. Getting it right requires an intuitive understanding of the technology's capabilities and limitations. This approachable guidebook helps learners of all levels navigate GenAI--and have fun while doing it.
Loaded with insightful diagrams and illustrations,
Visualizing Generative AI is the perfect entry point for curious IT professionals, business leaders who want to stay on top of the latest technologies, students exploring careers in cloud computing and AI, and anyone else interested in getting started with GenAI. You'll traverse the generative AI landscape, exploring everything from how this technology works to the ways organizations are already putting it to work to great success.
- Understand how generative AI has evolved, with a focus on major breakthroughs
- Get acquainted with the available tools and platforms for GenAI workloads
- Examine real-world applications, such as chatbots and workflow automation
- Learn fundamentals that you can build upon as you continue your GenAI journey
A propos de l'auteur
Priyanka Vergadia has been working with cloud technology for a decade. She holds an M.S. in Computer Science from the University of Pennsylvania and a B.S. in Electronics from India. Now a Developer Advocate at Google Cloud, Priyanka works with companies and cloud architects to solve their most pressing business challenges using cloud computing. She is also an artist and combines her tech knowledge with visual storytelling to bring learners unique & concise visual tours of today's leading technologies.Valliappa (Lak) Lakshmanan is an operating executive at Silver Lake focused on improving the value of portfolio companies through data and AI-driven innovation. Prior to Silver Lake, Lak was the Director for Data Analytics and AI Solutions on Google Cloud and a Research Scientist at NOAA. He is also the author of Data Science on the Google Cloud Platform, Machine Learning Design Patterns, and Practical Computer Vision all published by O'Reilly.
