Your Files, Your Secrets In today’s data-driven world, quick access to information is paramount with generative AI features such as instant file summaries invaluable. However, what if you need to summarize files containing regulated and sensitive information without risking data breaches or compromising privacy? That’s where OmniIndex Dropblock, powered by its private Small Language Model […]
Why Dropblock Matters Now More Than Ever The recently published International AI Safety Report (January 2025) is a comprehensive report into the current AI landscape. It is the work of 96 international AI experts who collaborated in an unprecedented effort to establish an internationally shared scientific understanding of risks from advanced AI and methods for […]
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.