Priyanka Vergadia: Visualizing Generative AI, Kartoniert / Broschiert
Visualizing Generative AI
- How AI Paints, Writes, and Assists
- Publisher:
- O'Reilly Media, 11/2025
- Binding:
- Kartoniert / Broschiert
- Language:
- Englisch
- ISBN-13:
- 9781098172305
- Item number:
- 12245698
- Volume:
- 250 Pages
- Weight:
- 640 g
- Format:
- 232 x 199 mm
- Thickness:
- 18 mm
- Release date:
- 15.11.2025
- Note
-
Caution: Product is not in German language
Blurb
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 leveraging it 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
Biography (Valliappa Lakshmanan)
Dr. Valliappa Lakshmanan is an expert in machine intelligence for meteorological applications, and in designing and developing large-scale software systems. He is skilled in communicating technical and non-technical material to diverse audiences. He has studied at the Indian Institute of Technology in Madras, the Ohio State University in Columbus and the University of Oklahoma. Dr. Lakshmanan is currently employed as a Research Scientist at CIMMS, being the technical lead on several software projects and research groups. He also develops automated real-time pattern recognition algorithms and visualization techniques for weather phenomena. He has (co-)written many journal articles.
