Trustworthy AI

Jaxon mathematically proves the output from LLMs is accurate. With a formal reasoning system, Jaxon ensures AI is predictable for use cases where the accuracy has to be trusted.

Rigorous Fact Checker with Domain-Specific Guardrails

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An AI-powered ‘Fact Checker’ to address the hallucination problem.

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Addressing the Hallucination Problem

The propensity to “hallucinate” is inherent in LLM architectures. Jaxon’s proprietary Domain-Specific AI Logic (DSAIL) facilitates the formal expression of domain knowledge, constraints, and assertions, acting as a bridge between natural language and the structured language computational tools required for mathematical solving. Fact check LLM output with DSAIL to ensure accuracy. 

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