LLM & AI Blog

DeepSeek’s LLM platform stores user data on servers located in China—a major concern for companies with privacy, compliance, and data sovereignty obligations. This post explores the risks of using DeepSeek for sensitive data and outlines why private, on-prem LLM deployments are a safer alternative.

LLMs flounder when they face tasks that step outside the patterns they've seen in training.

This post explores what’s driving the on-prem LLM movement, the biggest implementation struggles, and the emerging solutions—like the Model Context Protocol (MCP)—that are helping companies bridge the gap between aspiration and execution.

Large Language Models (LLMs) are AI systems trained on vast quantities of text to understand and generate human-like language.

Private LLMs—self-hosted, customizable language models that offer the same (and often better) functionality as their API-bound counterparts, but with far greater control, predictability, and security.

Static documents become searchable, interactive, and invaluable tools for informed decision-making.