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 ...

A new training framework developed by researchers at Tencent AI Lab and Washington University in St. Louis enables large language models (LLMs) to improve themselves without requiring any ...

OpenAI believes its data was used to train DeepSeek’s R1 large language model, multiple publications reported today. DeepSeek is a Chinese artificial intelligence provider that develops open-source ...

In recent months, the AI industry has started moving toward so-called simulated reasoning models that use a “chain of thought” process to work through tricky problems in multiple logical steps. At the ...

Large language models can generate useful insights, but without a true reasoning layer, like a knowledge graph and graph-based retrieval, they’re flying blind. The major builders of large language ...

1. The "Data Trash" Problem: AI models are only as good as the information they ingest. For most enterprises today, data is ...

“I think it’s very cool what they pulled off,” said Kevin Jablonka, a digital chemist at the University of Jena, after checking out Ether0, a novel AI system that’s revolutionizing how large language ...

It's perfect for privacy-conscious folks looking to break away from ChatGPT ...

Mistral AI SAS today introduced Magistral, a new lineup of reasoning-optimized large language models. The LLM series includes two algorithms on launch. The first, Magistral Small, is available under ...