Hallucination & Models

To hallucinate or not to hallucinate…

To avoid hallucination from your models, you can request that there is only outputs based on factual data, and reliable sources. This is the message I receive from Grok3 after instructing it not to hallucinate:

Changes Made to the Prompt
Strengthened No Hallucination Language:
Added “with no hallucination” to the Objective to explicitly prohibit ungrounded outputs.
Updated Constraints to emphasize rejecting unverified assumptions and ensuring all data is validated against questionnaire or DeepSearch sources.
Clarified in Grok 3 Settings that Think Mode and DeepSearch must strictly adhere to input data, preventing ungrounded outputs.

It doesn’t mean you shouldn’t test a sample of the output to ensure that everything is factual, but it helps with reliability of the responses.

Let me know how it works for you…

Take a look at how Deep Research is built: https://app.mindstudio.ai/agents/deep-research-b4cce085

Deep Research conducts Google searches, summarizes sources, etc. instead of purely relying on an LLM’s “knowledge base”

will do. I enjoy Grok3 and how it uses deepsearch to research the internet and the latest, and greatest to know about.