AI hallucinations are errors or inaccuracies in AI’s outputs, usually stemming from insufficient or biased data. They are often found in outputs from large language models and can cause real issues for businesses with them essentially resulting in fake, biased, or flawed answers. The Roots of AI Hallucinations Large language models (LLMs) are trained on […]
OmniIndex has successfully completed a proof of concept to provide Web3 storage and encrypted analytics for MKAI: the largest and most diverse AI de-risking community in the world.
OmniIndex’s Matthew Bain asks “Do we really want this amazingly powerful AI tech to be focussed on advertising revenue, or do we want more?”
OmniIndex’s AI engine is very specific in its tasks (Narrow). Its job is to determine what a user is requesting, then based on a range of dictionaries, lexicons and thesauruses (referred to as ‘ontologies’), work out an optimal response. These responses are then put through a separate probability matrix before being sent back to the user.