What Is Inference Literacy? Inference Literacy is an organizational capability—a set of skills and processes that allow a company to understand, measure, and optimize the costs and performance of running AI models. Think of it as the difference between simply paying your monthly utility bill and actually understanding how to manage your energy consumption to…

What Is Model Routing? Model routing is an infrastructure layer that acts as a smart traffic controller for your AI applications. It sits between your software and various Large Language Model providers, receiving every request through a single API. Instead of sending every query to the most powerful—and expensive—model available, the router dynamically forwards each…

What Is Prefix Caching? Prefix caching (also known as prompt caching) is an optimization technique for LLM inference that saves time and money by reusing work the model has already performed. When you send a prompt to an AI model, it performs a heavy computational process to understand the relationships between every word. If you…

Inference is the process of using a trained AI model to generate outputs—predictions, text, or decisions—from new input data. It is the stage where the model stops learning and starts working.