ai-architecture
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Small Language Models (SLMs) vs LLMs: When to Use What in 2026
Small Language Models are changing how enterprises design and deploy AI applications in 2026. While Large Language Models offer broad capabilities and advanced reasoning, SLMs can deliver faster, more cost-effective inference for focused tasks. This guide compares SLMs and LLMs across architecture, performance, infrastructure, security, and total cost of ownership. Learn when to use local models, when to choose a hosted LLM, and how to build hybrid AI systems that route each task to the most appropriate model.
The Agent Factory: How to Build 100+ Specialized AI Agents at Scale
Building one AI agent is an engineering project. Building and operating 100 specialized agents is a platform engineering challenge. This guide explains how to design an Agent Factory that standardizes agent creation, dynamically routes requests, reuses tools and capabilities, enforces security policies, automates testing, and manages the full agent lifecycle. Learn how enterprise engineering teams can scale from isolated AI pilots to a governed ecosystem of specialized agents without creating 100 independent systems to maintain.