For a long time, AI models have often produced different outputs when processing the same input due to randomness, especially when the temperature parameter is set to 0. The research team at Thinking ...

The report titled "Defeating Nondeterminism in LLM Inference" points out that even when the temperature parameter is set to 0, traditional large language models still produce different outputs for the ...

It is beginning to look like that the period spanning from the second half of 2026 through the first half of 2027 is going to ...

Adaptive reasoning won’t succeed at scale without evals and may require an evaluation infrastructure to implement adaptive ...

New Adversarial Relativistic-Contrastive training method enables 3-minute tracks in under 2 seconds, targeting untapped brand ...

Discover Sonoma Sky Alpha, the AI model processing 2M tokens, reshaping industries with Grok 4.2’s groundbreaking ...

With more than 1 trillion parameters, Qwen3-Max-Preview signals Alibaba Cloud’s ongoing investment in scaling AI systems. As ...

They found that when the tasks were not in the training data, the language model failed to achieve those tasks correctly ...

The rapid adoption of artificial intelligence (AI) agents across industries has brought significant benefits but also increased exposure to cyber threats, particularly adversarial attacks. According ...

AI services contracts differ from traditional SaaS because they must grapple with evolving models, uncertain outputs, ...

Imagine this: a job applicant submitting a resume that’s been polished by artificial intelligence (AI). However, inside the ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...