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: Deep neural networks yield desirable performance in text, image, and speech classification. However, these networks are vulnerable to adversarial examples. An adversarial example is a sample ...

Abstract: Adversarial examples can evade the detection of text classification models based on Deep Neural Networks (DNNs), thus posing a potential security threat to the system. To address this ...

Mutator methods modify the original array they are used on, as opposed to creating a copy like accessor methods do. We learned how to add and remove elements to the beginning or end of an array, as ...

Currently, to make insert, update, and remove work on the client, every collection defines methods called /collection-name/insert, /collection-name/update ...