Abstract: Based on the strong demand for independent control and the improvement of domestic databases, database localization has become an inevitable trend. In the process of migrating Oracle ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

Abstract: The traditional perturbation generation technique in the process of adversarial example generation requires a large amount of perturbation, which makes the example easy to be detected. An ...

The Table API enables a programmatic way of developing, testing, and submitting Flink pipelines for processing data streams. Streams can be finite or infinite, with insert-only or changelog data. The ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...

If you liked this story, share it with other people. Mongabay interviewed Antenor Vaz, an international expert on recognition methodologies and protection policies for Indigenous peoples in isolation ...

This document summarizes important points for writing and reviewing code examples written for the AWS SDK for Java V2. For more information on tools and standards, see the complete list in TCX Code ...

Generics make your code more flexible and easier to read, and they help you avoid ClassCastExceptions at runtime. Get started with this introduction to using generics with the Java Collections ...

To overcome the reliance on large samples and high-quality data in existing evaluation methods, while also improving evaluation efficiency and accuracy, this paper proposes a method for rapid ...