Ep 846: AI Hallucinations: What they are, why they happen, and the right way to reduce the risk (Start Here Series Vol 5)
2026-08-21 · 30 min · episode 846 · 13 entities
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Ep 846: AI Hallucinations: What they are, why they happen, and the right way to reduce the risk (Start Here Series Vol 5)
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Ep 846: AI Hallucinations: What they are, why they happen, and the right way to reduce the risk (Start Here Series Vol 5)
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Ep 846: AI Hallucinations: What they are, why they happen, and the right way to reduce the risk (Start Here Series Vol 5)
Episode description as stored
Let's talk about the AI elephant in the room: hallucinations. 🐘
Maybe hallucinations are the reason your company has been hesitant on AI.
But here's the thing, y'all. If you know what you're doing, hallucinations are largely manageable.
But first, you gotta understand what they are, how they happen, and how to reduce the risk.
Let's get started cutting down hallucinations together.
AI Hallucinations: What they are, why they happen, and the right way to reduce the risk (Start Here Series Vol 5) -- An Everyday AI Chat with Jordan Wilson
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Topics Covered in This Episode:
AI Hallucinations Definition and Causes
Large Language Models' Hallucination Mechanisms
Hallucination Types: Fabricated Claims & Sources
Model Improvements Reducing Hallucination Rate
Context Window Impact on AI Accuracy
AI Hallucinations in Legal and Enterprise Settings
Four-Layer Method for Minimizing Hallucinations
Custom Instructions and Retrieval-Augmented Generation
Expert-Driven Verification and Agent Safety Practices
Timestamps:
00:00 "Modulate's Velma: Smarter AI Insights"
03:18 "Reducing AI Hallucinations Explained"
08:36 "Minimizing AI Hallucinations with Skill"
12:30 "Model Retention and Recall Decline"
13:23 AI Advances: Improved Accuracy and Recall
19:24 "AI Hallucinations and Their Causes"
21:07 "Customizing AI Behavior Effectively"
24:47 "Connecting Data to Reduce Hallucinations"
28:47 "AI Oversight and Expert Input"
30:56 "Reducing AI Hallucinations Simplified"
Keywords:
AI hallucinations, large language models, next token prediction, AI error, human error, fabricated claims, reinforcement learning with human feedback, context window, context engineering,
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