How to build a hallucination-free AI

You Can Stop AI Hallucinations

What if an AI model could only answer using information you trust?

Jonathan Schaeffer (AI Researcher and Founder of Kind) explains how a private language model can be trained on a carefully curated dataset instead of information collected from across the internet. Removing unreliable material and restricting the model to approved data can significantly reduce fabricated answers.

But eliminating AI hallucinations does not guarantee perfect accuracy. The model can still misunderstand a question, interpret the data incorrectly, or provide an incomplete response.

The real difference is that its answers remain grounded in your data rather than facts invented from unreliable internet sources.

Could curated training data make AI more trustworthy than ChatGPT?

➡️Watch Full Episode here: https://youtu.be/SXGkW7e_rbc

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