NEWSLETTER
Tradeoffs between privacy and computation in private replay and metaselection.
A private repetition algorithm takes as input a differentially private algorithm with constant success probability and augments it to one ...
Tag: computation
Google AI announces that optimally scaling LLM test-time computation can be more efficient than scaling model parameters
Large language models (LLMs) face challenges in effectively using additional test-time computations to improve the accuracy of their answers, particularly ...
Reframing the Web: A recipe for modeling languages with efficient use of data and computation
Large language models are trained on massive chunks of the web, which are often unstructured, noisy, and poorly written. Current ...
Can we optimize AI for information retrieval with less computation? This AI article introduces InRanker: an innovative approach to distilling large neural classifiers
Practical deployment of multi-million-parameter neural classifiers in real-world systems poses a significant challenge in information retrieval (IR). These advanced neural ...
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