Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller ...

Back in engineering school, I had a professor who used to glory in the misleading assignment. He would ask questions containing elements of dubious relevance to the topic at hand in the hopes that it ...

Large language models (LLMs) can learn complex reasoning tasks without relying on large datasets, according to a new study by researchers at Shanghai Jiao Tong University. Their findings show that ...

As language models (LMs) improve at tasks like image generation, trivia questions, and simple math, you might think that human-like reasoning is around the corner. In reality, they still trail us by a ...

CAMBRIDGE, MA – For all their impressive capabilities, large language models (LLMs) often fall short when given challenging new tasks that require complex reasoning skills. While an accounting firm’s ...

Chain-of-Thought (CoT) prompting has enhanced the performance of Large Language Models (LLMs) across various reasoning tasks. However, CoT still falls short in dealing with complex math word problems, ...

The new Mercury 2 AI model uses diffusion reasoning to generate 1,000 tokens per second; it runs about 5x faster than Haiku, speed limits are ...

As large language models (LLMs) continue to improve at coding, the benchmarks used to evaluate their performance are steadily becoming less useful. That's because though many LLMs have similar high ...

While these potential applications are showing where the tangible value will be in using reasoning models, the reality is that they are still nascent, and we have not seen widespread adoption for a ...

LLMs tell you the truth, sometimes. Source: Art: DALL-E/OpenAI Large Language Models (LLMs) have revolutionized how we interact with machines, captivating users with their ability to generate coherent ...

Identifying vulnerabilities is good for public safety, industry, and the scientists making these models.