CMHT

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Keijo Tuominen

Research Papers

From Tables to Vectors: Understanding Large Language Models Through the Lens of Database Evolution

A comprehensive technical guide that demystifies Large Language Models by building on familiar database concepts. Perfect for educated professionals who want to understand how AI actually works.

Hierarchical Semantic Large Language Model Architectures: A DNS-Inspired Approach

A groundbreaking technical paper proposing DNS-inspired hierarchical architectures for scalable LLM deployment. Demonstrates 85% communication overhead reduction and 47% cost savings through intelligent semantic routing and specialized inference engines.