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Understanding AI Hallucinations: Inside the Machine Mind

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Manage episode 497139863 series 2076989
Content provided by Gartner. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Gartner or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this episode of Gartner ThinkCast, we explore one of the most persistent — and evolving — challenges with AI: hallucinations.

Returning from our Top of Mind video series, Gartner Chief of Research Chris Howard breaks down what hallucinations really are, why they happen and what they reveal about how machines think. From multiagent systems to physics-informed neural networks, discover how the next wave of AI innovation is moving beyond prediction and toward precision, all while relying on AI-ready data.

Tune in to discover:

  • Why hallucinations happen and what they say about how AI works
  • How multiagent systems and PINNs are changing how machines reason
  • When to use probabilistic neural networks vs. deterministic tools
  • Why not every business problem needs AI
  • How hallucinations might actually help reframe your thinking

Dig deeper:

  continue reading

271 episodes

Artwork
iconShare
 
Manage episode 497139863 series 2076989
Content provided by Gartner. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Gartner or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this episode of Gartner ThinkCast, we explore one of the most persistent — and evolving — challenges with AI: hallucinations.

Returning from our Top of Mind video series, Gartner Chief of Research Chris Howard breaks down what hallucinations really are, why they happen and what they reveal about how machines think. From multiagent systems to physics-informed neural networks, discover how the next wave of AI innovation is moving beyond prediction and toward precision, all while relying on AI-ready data.

Tune in to discover:

  • Why hallucinations happen and what they say about how AI works
  • How multiagent systems and PINNs are changing how machines reason
  • When to use probabilistic neural networks vs. deterministic tools
  • Why not every business problem needs AI
  • How hallucinations might actually help reframe your thinking

Dig deeper:

  continue reading

271 episodes

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