aiqbench analysis

Probably addresses hallucinations by combining LLMs with deterministic validators to achieve near-perfect accuracy without relying solely on massive frontier models. This approach reduces ambiguity through rigorous engineering harnesses, enabling reliable data science tools that run efficiently on local hardware. The strategy shifts the focus from scaling model parameters to optimizing context and validation pipelines for factual reliability.