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cs.DB2024
λ-Tune: Harnessing Large Language Models for Automated Database System Tuning
Victor Giannankouris, Immanuel Trummer
We introduce λ-Tune, a framework that leverages Large Language Models (LLMs) for automated database system tuning. The design of λ-Tune is motivated by the capabilities of the late…
cs.LG2024
SMART: Automatically Scaling Down Language Models with Accuracy Guarantees for Reduced Processing Fees
Saehan Jo, Immanuel Trummer
The advancement of Large Language Models (LLMs) has significantly boosted performance in natural language processing (NLP) tasks. However, the deployment of high-performance LLMs i…