LLM
3 articles tagged "LLM"
Explore our collection of articles about llm. These posts cover practical insights for enterprise AI governance, compliance, and infrastructure teams.
Open-Weight Models in 2026: DeepSeek, Kimi, and Open vs. Closed AI
Open-weight models like DeepSeek and Kimi have closed much of the gap with closed frontier AI. Here is how they work, how open-weight and closed-weight models differ, the pros and cons of each, and how enterprises can adopt open weights without losing governance.
Reducing Token Utilization When Building MCP Tools
Every MCP tool call costs tokens — descriptions injected upfront, arguments sent, results returned. At scale, this adds up fast. Here are the techniques that matter most for keeping token consumption under control.
What is MCP? How LLMs Use the Model Context Protocol
A technical deep dive into the Model Context Protocol — the open standard that lets LLMs discover and invoke tools. Learn the architecture, JSON-RPC transport, and the exact tool-call loop that powers AI agents.
Weekly governance insights for engineering leaders
Read the patterns behind governed AI delivery, then turn them into tracked workflows with Axiom Studio.
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