LLM Routing — Intuitively and Exhaustively Explained | by Daniel Warfield | Nov, 2024
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In this article we’ll discuss “LLM routing”, an advanced inferencing technique which can automatically choose the right language model, out of a selection of language models, for a given prompt; improving the performance, speed, and cost in LLM-powered systems.
We’ll explore four approaches to LLM routing: three from academia and one from industry, in order to form a thorough understanding of the concept and technology. In doing so we’ll explore a variety of modeling strategies which are useful in important AI use cases, like self-evaluation, autonomous systems, and decision making in the face of uncertainty.
Who is this useful for? Anyone who wants to forge a deeper understanding of AI, and some of the core approaches necessary to make cutting edge AI powered systems.
How advanced is this post? Earlier sections of this article are accessible to readers of all levels. Later sections are geared more towards data scientists and developers with some level of experience.
Pre-requisites: The earlier sections are accessible to readers of all levels, but later sections have some supporting content which may prove necessary for some less experienced readers.
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