In this TechRepublic interview, researcher Amy Chang details the decomposition method and shares how organizations can protect themselves from LLM data extraction.

Go behind the scenes with Rusty Arnold trainees Echo Sound and Kilwin as they train for the Aug. 2 Test Stakes (G1) at Saratoga Race Course. Assistant trainer Lyndsay Delello introduces us to both ...

In terms of evaluation protocols, we have considered train-test split, standard k-fold cross-validation, and group k-fold cross-validation. While the first two assume that the training and test data ...

Synopsys High-Speed Test IO IP achieves higher data rates than other test IO, matching the advancement in testing equipment and supporting high-speed reliability testing with no protocol demands. The ...

How Apple plans to train its AI on your data without sacrificing your privacy Apple's solution is called 'differential privacy' - and it's already been using it for Genmojis.

Today’s modern data center presents several challenges, including getting the data in and out with more high-speed links that must be tested.

In their study, the researchers challenge the assumption that you need large amounts of data to train LLMs for reasoning tasks. They introduce the concept of “less is more” (LIMO).

OpenAI believes its data was used to train DeepSeek’s R1 large language model, multiple publications reported today. DeepSeek is a Chinese artificial intelligence provider that develops open ...

The problems with real data Tech companies depend on data – real or synthetic – to build, train and refine generative AI models such as ChatGPT. The quality of this data is crucial.

There's not enough human-generated data to keep AI models improving at the same rate. 2025 will put a new solution to the test.