Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Abstract: Recent large language models (LLMs) face increasing inference latency as input context length and model size grow. Retrieval-augmented generation (RAG) exacerbates this by significantly ...

In an effort to work faster, our devices store data from things we access often so they don’t have to work as hard to load that information. This data is stored in the cache. Instead of loading every ...

(a-b) Layer input similarity and attention output similarity across adjacent denoising steps. The brighter region denotes a higher similarity, indicating most tokens are stable across steps.(c-d) The ...