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In this episode of Into The Madverse, Mark Venables speaks with Matt Penton, Director of Data & AI at BIP Group, about why relying on a single large language model is a fundamentally flawed strategy for enterprise AI. They explore multi-LLM consensus, agentic supervision, bias, hallucination, and why no model has a monopoly on truth when real decisions are at stake.
By markeewIn this episode of Into The Madverse, Mark Venables speaks with Matt Penton, Director of Data & AI at BIP Group, about why relying on a single large language model is a fundamentally flawed strategy for enterprise AI. They explore multi-LLM consensus, agentic supervision, bias, hallucination, and why no model has a monopoly on truth when real decisions are at stake.