Companies investing in generative AI find that testing and quality assurance are two of the most critical areas for improvement. Here are four strategies for testing LLMs embedded in generative AI ...

Through new privacy-preserving generative AI and zero-trust data clean rooms (DCRs) optimized for Microsoft Azure confidential computing, Opaque said it also now enables organizations to securely ...

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Large C++ test suites frequently contain duplicated and near-duplicated test logic, often created through copy–paste adaptation to cover variations in configuration, inputs, or system states. While ...

Locally run large language models (LLMs) may be a feasible option for extracting data from text-based radiology reports while preserving patient privacy, according to a new study from the National ...

At the core of large language model (LLM) security lies a paradox: the very technology empowering these models to craft narratives can be exploited for malicious purposes. LLMs pose a fundamental ...