Data Annotation to Auto-Optimization: How Agents and Human Oversight Shape AI's Future (E.19)

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Free Form AI

Michael Berk

24 episodes

2 weeks ago

Free Form AI explores the landscape of machine learning and artificial intelligence with topics ranging from cutting-edge implementations to the philosophies of product development. Whether you're an engineer, researcher, or enthusiast, we cover career growth, real-world applications, and the evolving AI ecosystem in an open, free-flowing format. Join us for practical takeaways to navigate the ever-changing world of AI.

All content for Free Form AI is the property of Michael Berk and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.

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Data Annotation to Auto-Optimization: How Agents and Human Oversight Shape AI's Future (E.19)

Free Form AI

50 minutes

2 months ago

Data Annotation to Auto-Optimization: How Agents and Human Oversight Shape AI's Future (E.19)

In this episode of Free Form AI, Michael and Ben explore the evolution of prompt engineering and the rise of auto-optimization in AI. We discuss how agents can execute tasks autonomously, why human oversight remains essential and how defining success criteria shapes model performance.

Tune in to Episode 19 for a wide-ranging conversation about:

• Why prompt engineering still matters in an era of automation

• How auto-optimization could replace traditional data annotation

• How AI is augmenting business analytics and software workflows

If you’re interested in where AI agents and automated optimization are heading, click through!