Prompt Security today extended its platform to enable organizations to implement policies that restrict the types of data surfaced by a large language model (LLM) that employees are allowed to access.

Large Language Models (LLMs) are trained on diverse and extensive textual data. They are designed to understand language and apply knowledge across numerous domains. LLMs such as GPT-4 and the ...

Here's a first look, including the top LLMs and what they're used for today. Large language models (LLMs) such as GPT, Bard, and Llama have caught the public’s imagination and garnered a wide ...

“In my opinion this is one of the reasons LLMs, while they already have all of humanity's knowledge in memory, haven't generated any new knowledge by connecting previously unrelated facts ...

While LLMs have achieved impressive results in many domains, their struggles with analogical reasoning suggest that they do not yet match human cognitive flexibility. The study emphasizes the need for ...

Organizations cannot rely solely on current security measures to protect sensitive data in AI-enabled workflows.

In a new paper, researchers at Carnegie Mellon University propose an LLM training technique that gives developers more control over the length of the CoT. Called length controlled policy ...

Inception, a new Palo Alto-based company started by Stanford computer science professor Stefano Ermon, claims to have developed a novel AI model based on “diffusion” technology. Inception calls it a ...

There is a need to explore this revolution also by asking whether domain-specific large language models (LLMs) are as effective or potentially superior to less expensive small language models (SLMs).