What will the future of AI technology look like?
With prompting, the timeline is now very different. You can specify a prompt in minutes or hours and then deploy a system to production in just hours or days. – Andrew Ng
Andrew Ng, the managing general partner at AI Fund, shares his insights on the future of AI technology. He discusses the potential of AI as a general-purpose technology, the rise of prompting in AI development, the significance of responsible AI practices, and the opportunities that lie ahead for entrepreneurs in the AI field.
Table of Contents
- AI as a general-purpose technology
- The revolution of prompting in AI development
- The power of large language models
- The importance of responsible AI practices
- The value of supervised learning and generative AI
- Challenges in scaling up data and compute for reinforcement learning
- Addressing security concerns in AI
- Global skill set development in AI
- The question of AI consciousness
- The need for continuous innovation in AI infrastructure
- The shift of AI innovation from academia to industry
- Opportunities in AI for healthcare
AI as a general-purpose technology
AI isn’t limited to a single use case.
Like electricity, it has a wide range of applications across various industries and domains.
Its versatility makes it a powerful tool for innovation and problem-solving.
The revolution of prompting in AI development
Prompting is changing the game in AI application development.
It significantly reduces the time from specification to deployment, allowing systems to be operational in mere hours or days.
This speed and efficiency make AI more accessible and practical for a variety of uses.
