Performance. Top-level APIs allow LLMs to achieve higher response speed and accuracy. They can be used for training purposes, as they empower LLMs to provide better replies in real-world situations.

Claude-creator Anthropic has found that it's actually easier to 'poison' Large Language Models than previously thought. In a recent blog post, Anthropic explains that as few as "250 malicious ...

Contrary to long-held beliefs that attacking or contaminating large language models (LLMs) requires enormous volumes of malicious data, new research from AI startup Anthropic, conducted in ...

On the surface, it seems obvious that training an LLM with “high quality” data will lead to better performance than feeding it any old “low quality” junk you can find. Now, a group of researchers is ...

Forbes contributors publish independent expert analyses and insights. Anjana Susarla is a professor of Responsible AI at the Eli Broad College of Business at Michigan State University. Amidst all the ...

Running large language models at the enterprise level often means sending prompts and data to a managed service in the cloud, much like with consumer use cases. This has worked in the past because ...

In 2025, three federal district court decisions began to sketch the boundaries of what counts as fair use in the context of AI training.

In January, assumptions around AI were shaken up by DeepSeek, a small Chinese company that nobody had heard of. This week it was Switzerland’s turn to stir things up. Apertus (Latin for ‘open’) is a ...