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 ...

Researchers find large language models process diverse types of data, like different languages, audio inputs, images, etc., similarly to how humans reason about complex problems. Like humans, LLMs ...

Microsoft and Amazon, once merely investors in OpenAI and Anthropic, are now competing by making their own models.

Researchers at Nvidia have developed a novel approach to train large language models (LLMs) in 4-bit quantized format while maintaining their stability and accuracy at the level of high-precision ...

What the firm found challenges some basic assumptions about how this technology really works. The AI firm Anthropic has developed a way to peer inside a large language model and watch what it does as ...

Training AI or large language models (LLMs) with your own data—whether for personal use or a business chatbot—often feels like navigating a maze: complex, time-consuming, and resource-intensive. If ...

This line of defense could be the strongest yet. But no shield is perfect. AI firm Anthropic has developed a new line of defense against a common kind of attack called a jailbreak. A jailbreak tricks ...

The original version of this story appeared in Quanta Magazine. Large language models work well because they’re so large. The latest models from OpenAI, Meta, and DeepSeek use hundreds of billions of ...