A major challenge in the analysis of multi-agent systems is the restriction on joint policies of agents.

As part of a trend loosely called'sovereign AI', governments around the world are developing their own AI technologies As part of a trend loosely called'sovereign AI', governments around the world are developing their own AI technologies Governments are spending billions on their own'sovereign' AI technologies - is it a big waste of money? The Guardian's journalism is independent. We will earn a commission if you buy something through an affiliate link. In Malaysia, ILMUchat, built by a local construction conglomerate, boasts that it "knows which Georgetown you're referring to" - that is, the capital of Penang and not the private university in the US. Meanwhile, Switzerland's Apertus, unveiled in September, understands when to use the Swiss German "ss" and not the German-language character "ß".

MIM to enhance the adversarial robustness of downstream models. It is important to highlight that our paper's focus is specifically on the adversarial robustness of ViTs. It is shown that our method can provide an effective defense against severe adversarial attacks. We propose two hypotheses for explaining the reason behind our method's effectiveness: (1) Given Figure 3 (a) shows the comparison between the results of noise being known and unknown. When the attacker can access the noise, our model's robust accuracy does not improve much as The results indicate that both proposed hypotheses are true.

While the latest LLMs are astonishingly fluent when interacting with humans, they suffer from the misinformation problem by unintentionally generating factually false statements. This can lead to harmful consequences, especially when produced within sensitive contexts, such as healthcare.

Text-to-SQL parsing, which aims at converting natural language questions into executable SQLs, has gained increasing attention in recent years.