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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Episode guests

Andrew Ng

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Episode notes

Podcast summary created with Snipd AI

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.

Intro

6min

Strategic Approaches to Large Language Model Adoption for Enterprises

3min

Exploring the Intersection of Agentic AI and Vision Models

4min

Advancements in AI Vision Processing

9min

Revolutionizing AI: From Cost Efficiency to Vision Agents

4min

In this special episode recorded live at ScaleUp:AI in New York, Jon Krohn speaks to Andrew Ng in response to his conference talk on smart agentic AI workflows. Jon follows up with Andrew about smart agentic workflows and when to use them, how businesses should direct their efforts in investing in AI, and the new ways that AI tools can process visual and unstructured data.

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(06:13) How to weigh up cost and effectiveness in new AI workflows
(12:08) The crucial elements for building effective vision AI applications
(15:34) How large vision models might transform global industries
(18:40) How to mitigate risk in people not verifying accuracy in answers generated by agents

Additional materials: www.superdatascience.com/841

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