Hybrid AI merges deterministic analytics with LLM reasoning to curb hallucinated outputs
The article proposes a hybrid AI architecture that runs deterministic data analysis before handing results to a large language model for interpretation, preventing plausible‑but‑incorrect analytics that LLMs alone often produce. This design improves reliability for enterprise AI tasks such as process optimization and recommendation generation.