Zobrazeno 1 - 10
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pro vyhledávání: '"Future proof"'
Autor:
Chauvin, Timothee
Long contexts of recent LLMs have enabled a new use case: asking models to find security vulnerabilities in entire codebases. To evaluate model performance on this task, we introduce eyeballvul: a benchmark designed to test the vulnerability detectio
Externí odkaz:
http://arxiv.org/abs/2407.08708
Input-output safeguards are used to detect anomalies in the traces produced by Large Language Models (LLMs) systems. These detectors are at the core of diverse safety-critical applications such as real-time monitoring, offline evaluation of traces, a
Externí odkaz:
http://arxiv.org/abs/2406.01364
Publikováno v:
International Journal of Research in Business & Social Science. 2024 Special Issue, Vol. 13, p15-24. 10p.