Hallucination is fundamental to how transformer-based language models work. In fact, it's their greatest asset.

In recent years, the rapid development of artificial intelligence has led to significant achievements of large models (such as GPT-3, BERT, etc.) in the field of natural language processing. However, ...

While effective, this approach has notable limitations: it heavily relies on human annotations, making it costly and difficult to scale; models only mimic humans, struggling to surpass human reasoning ...

Find 15 LSAT practice questions with answers and explanations to help boost your test scores. Get sample questions, study tips, and more.

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

They found that when the tasks were not in the training data, the language model failed to achieve those tasks correctly using a chain of thought. The AI model tried to use tasks that were in its ...

At DevSparks 2025, Jigar Halani, Director - Solution Architect & Engineering, NVIDIA, noted that artificial intelligence is ...

As Meta unveils its powerful on-device reasoner, a wider industry trend emerges where small, specialized models are solving enterprise challenges around cost, privacy, and control.

The term “cultural relevance” is all the buzz, But is it really culturally relevant when a brand simply hops on the latest ...

Aptitude test prep 2025 featuring Accuplacer practice test, free ATI TEAS practice test, SHL, Saville, Watson Glaser, plus numerical & verbal reasoning practice resources. Expanded offerings now ...

Curious how long to study for the LSAT? Get tips on study plans, prep time, and how to reach your best LSAT score—all in one ...