| BlogAn MSU/UA PATENT Lab paper describing the principles of ROC driven prompt distillation. It closes the gap between frontier models and on-premise LLMs allowing for offline deployments, without any cloud vendor dependencies. In my example it is used to train an installment loan lead underwriting filter.
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Genetic Fuzzy and Neuro Evolution: Complexity Analysis
MSU paper analyzing complexity of genetic algorithms used to train Expert Systems (fuzzy logic) and Neural Networks (NEAT).
Continue reading “Genetic Fuzzy and Neuro Evolution: Complexity Analysis”LLMZ+: Contextual Prompt Whitelist
MSU research paper to be presented at a ICMLA ’25 conference in Boca Raton, FL. It describes the principles of contextual whitelisting for agentic LLMs. It significantly increases deployment security without additional cost and resources associated with traditional threat mitigation systems.
Continue reading “LLMZ+: Contextual Prompt Whitelist”Fintech Use of Genetic Algorithms
MSU Seminar paper describing fintech adoption of Genetic-assisted AI. From ledger forecasting to anti-fraud and forensic audits, I provide a brief overview of evolutionary algorithms improving well-established artificial intelligence tools.
Continue reading “Fintech Use of Genetic Algorithms”Genetic Evolution of Expert AI Systems
MSU paper describing a real-life use of an expert system paired with an evolutionary training algorithm in the realm of US credit underwriting.
Continue reading “Genetic Evolution of Expert AI Systems”Optimal Sizing of VMs & Containers
UIUC paper on how kernel-space loads determine the best course of action for business workflows deployed as either Virtual Machines or Kubernetes containers.
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