Super Data Science: ML & AI Podcast with Jon Krohn
841: Andrew Ng on AI Vision, Agents and Business Value
Dec 3, 2024
Andrew Ng, Executive Chairman of Landing AI and a pioneer in AI education, shares deep insights on smart agentic AI workflows. He discusses how businesses can effectively invest in AI while weighing cost against effectiveness. The conversation highlights transformative large vision models and their potential to revolutionize global industries. Ng also addresses the importance of verifying AI-generated answers to mitigate risks in accuracy. Buckle up for a fascinating dive into the future of AI processing and its applications!
26:21
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Quick takeaways
- Businesses should prioritize developing practical AI applications utilizing cost-effective models over investing heavily in advanced technologies like GPT-4.
- The rise of vision AI technology is revolutionizing image processing, enabling innovative applications across diverse industries beyond traditional sectors.
Deep dives
Maximizing AI Model Efficiency
Cheaper AI models utilizing smart agentic workflows can outperform more advanced models in certain tasks. Emphasizing the practicality of achieving results with these approaches, it’s advised that most businesses focus on developing effective applications rather than investing heavily in cutting-edge models like GPT-4. The rising cost-efficiency of generative AI APIs, which have seen a significant decrease in usage costs—approximately 80% year over year—suggests that leveraging existing models can yield substantial value. Companies currently utilizing generative AI are finding their operational costs lower than anticipated, allowing for the potential of investing their resources into creating impactful applications.
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