A recent study questions if large language models (LLMs) truly form coherent world models, despite their accurate outputs in complex tasks like generating directions or playing games.

The first step in leveraging LLMs is understanding their capabilities and how they can impact your organization.

Securing large language models (LLMs) presents unique challenges due to their complexity, scale, and data interactions.

"Our work shows that while large language models are becoming increasingly sophisticated, they still struggle to grasp the ...

Generative AI might be impressive given of how large their scope is, but researchers said that they are not entirely reliable yet at the time.

Leading AI companies such as OpenAI, Google and Meta rely more on content from premium publishers to train their large ...

MIT this week showcased a new model for training robots. Rather than the standard set of focused data used to teach robots ...

Large language models (LLMs) have made remarkable strides in natural language processing (NLP), enabling a multitude of applications ranging from automated customer service to advanced content ...

In a recent study published in Npj Digital Medicine, researchers revealed the vulnerability of large language models (LLMs) ...

Web scraping is undergoing a significant transformation, driven by the advent of large language models (LLMs) and agentic ...

Large language models (LLMs) have demonstrated impressive capabilities in multilingual machine translation (MT). Research ...

LM Studio is a software that allows users to run large language models (LLMs) on personal devices, using GPU offloading to ...