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Most modern LLMs are trained as "causal" language models. This means they process text strictly from left to right. When the ...
Abstract: In the present research, we tackle the problem of query by example spoken term detection (QbE-STD) in the zero-resource scenario. State-of-the-art methods typically use dynamic temporal ...
Semantic caching is a practical pattern for LLM cost control that captures redundancy exact-match caching misses. The key ...
Abstract: The rapid growth in the scale of distributed databases has led to a deeper impact of the multi-join query optimization problem on data query efficiency. The increase in the number of ...
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