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Found 3 papers, 1 papers with code
Herd: Using multiple, smaller LLMs to match the performances of proprietary, large LLMs via an intelligent composer
Currently, over a thousand LLMs exist that are multi-purpose and are capable of performing real world tasks, including Q&A, text summarization, content generation, etc.
Tryage: Real-time, intelligent Routing of User Prompts to Large Language Models
Here, we propose a context-aware routing system, Tryage, that leverages a language model router for optimal selection of expert models from a model library based on analysis of individual input prompts.
Engineering flexible machine learning systems by traversing functionally-invariant paths
We conceptualize the weight space of a neural network as a curved Riemannian manifold equipped with a metric tensor whose spectrum defines low rank subspaces in weight space that accommodate network adaptation without loss of prior knowledge.
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