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.

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

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.

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

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

Robert T. Chang, MD, from Stanford University discusses how large language models are transforming ophthalmology by enhancing ...

The rise of large language models (LLMs) has sparked questions about their computational abilities compared to traditional models. While recent research has shown that LLMs can simulate a universal ...

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 ...

LLMs are the talk of the town, but businesses will find that small models enable AI adoption for business use cases at a ...

Research shows that in the era of large language models, literary translation remains “an exclusive domain of human ...

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.