Ep 703: AI Hallucinations: What they are, why they happen, and the right way to reduce the risk (Start Here Series Vol 5)

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 WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:AI Hallucinations Definition and CausesLarge Language Models' Hallucination MechanismsHallucination Types: Fabricated Claims & SourcesModel Improvements Reducing Hallucination RateContext Window Impact on AI AccuracyAI Hallucinations in Legal and Enterprise SettingsFour-Layer Method for Minimizing HallucinationsCustom Instructions and Retrieval-Augmented GenerationExpert-Driven Verification and Agent Safety PracticesTimestamps: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 Recall19:24 "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,Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)