1 option
Generative AI for government : unleashing the power of intelligent automation.
- Format:
- Video
- Author/Creator:
- Ibaraki, Stephen, author.
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Physical Description:
- 1 online resource (1 video file (3 hr., 14 min.)) : sound, color.
- Edition:
- [First edition].
- Place of Publication:
- [Place of publication not identified] : O'Reilly Media, Inc., [2023]
- Summary:
- The next generation of AI is poised to revolutionize how governments carry out their mission. New advancements in generative AI models and tools like ChatGPT are being explored to enable real-time communication, automate services, simplify processes, reduce inefficiencies, and collect intelligence data. Join leading experts in the field to explore the latest generative AI tools, techniques, and real-world use cases shaping the future of government. What you'll learn and how you can apply it Explore the latest developments in generative AI, how the government is responding, and how to navigate complex regulatory environments Learn how to harness the power of generative AI without compromising the security of confidential government data Uncover the latest techniques being used to analyze AI infrastructures in over 50 countries Discover how to implement AI-powered predictive and recommendation systems to improve and streamline government services This live course is for you because... You're an AI practitioner who wants to broaden your skill set and explore ways in which you can apply your knowledge to the public sector. You're a government employee who wants to explore the latest advancements in AI technology. You're a government official who wants to implement AI technology into your agency. Recommended follow-up: Read Prompt Engineering for Generative AI (early release book) Read Developing Apps with GPT-4 and ChatGPT (book) Read Low-Code AI (book) Watch ChatGPT: Possibilities and Pitfalls (video) Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.
- Notes:
- OCLC-licensed vendor bibliographic record.
- OCLC:
- 1407070925
- Publisher Number:
- 0636920964384
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.