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 ...

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 ...

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

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, ...

Ten AI concepts to know in 2026, including LLM tokens, context windows, agents, RAG, and MCP, for building reliable AI apps.

Artificial intelligence may have impressive inferencing powers, but don't count on it to have anything close to human reasoning powers anytime soon. The march to so-called artificial general ...

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 ...

There are trade-offs when using a local LLM ...

Meta has introduced a significant advancement in artificial intelligence (AI) with its Large Concept Models (LCMs). Unlike traditional Large Language Models (LLMs), which rely on token-based ...