Whatever you feed them can become public. Keep that in mind, and take these steps to protect yourself. When you interact with ...

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 ...

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 LLMs grow more capable, real-world AI deployments depend on a complex supply chain of data companies and infrastructure ...

Apple’s AI efforts don’t have to be hampered by its commitment to user privacy. A blog post published Monday explains how the company can generate the data needed to train its large language models ...

In this TechRepublic interview, Cisco researcher Amy Chang details the decomposition method and shares how organizations can protect themselves from LLM data extraction. Cisco Talos AI security ...

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 ...

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 ...

Apple researchers have published a study that looks into how LLMs can analyze audio and motion data to get a better overview of the user’s activities. Here are the details. They’re good at it, but not ...

The idea is that you restrict the training data provided to the model to material published before a given date. In the case ...