Episode Notes:
Ever had AI confidently give you an answer that’s totally wrong? You’re not alone. In this episode of The Next Step, I break down why AI “hallucinates,” how to tell when it’s making things up, and simple ways to get more reliable results without being a tech expert.
Key Takeaways:
AI hallucinations are part of how language models work.
There are two types: factual (made-up answers) and faithful (real facts, misused).
The root cause hallucination? AI predicts words based on statistical patterns.
You can cut through the noise with better prompts, step-by-step asks, and trusted data sources.
If this helped, follow The Next Step for more practical tips on using AI the right way.
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