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.

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

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

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 ...

Because such language is implicit and context-dependent, recognizing manipulative language can be very challenging for large ...

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 ...

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

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

On October 17, 2024, Microsoft announced BitNet.cpp, an inference framework designed to run 1-bit quantized Large Language ...

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