Researchers from DeepMind and Stanford University developed an AI agent that fact-checks LLMs and enables benchmarking of AI model factuality. Even the best AI models still…
By Eugene van der Watt · 3 min read
A team of researchers found that once a large language model (LLM) is personalized with a person’s demographic information, it is significantly more persuasive than a…
By Eugene van der Watt · 2 min read
Researchers from Stanford University and Notbad AI developed Quiet-STaR, a technique that trains a language model (LM) to reason internally before generating an output. When humans…
By Eugene van der Watt · 3 min read
Researchers released a benchmark to measure whether an LLM contains potentially hazardous knowledge and a novel technique for unlearning dangerous data. There has been much debate…
By Eugene van der Watt · 2 min read
The rapid rise of generative AI has captivated the world, but as the technology advances at an unprecedented pace, a crisis has emerged: the erosion of…
By Sam Jeans · 5 min read
Researchers developed a jailbreak attack called ArtPrompt, which uses ASCII art to bypass an LLM’s guardrails. If you remember a time before computers could handle graphics,…
By Eugene van der Watt · 2 min read
Bias has always been a problem in AI, but a new study shows that it’s covertly integrated into language models with potentially catastrophic consequences. In what…
By Sam Jeans · 5 min read
Despite rapid advancements in LLMs, our understanding of how these models cope with longer inputs remains poor. Mosh Levy, Alon Jacoby, and Yoav Goldberg, from the…
By Sam Jeans · 3 min read
Researchers from Meta and the University of California San Diego (UCSD) developed ToolVerifier, a method that improves how LLMs call and interact with software tools. For…
By Eugene van der Watt · 2 min read
As AI systems like large language models (LLMs) grow in size and complexity, researchers are uncovering intriguing fundamental limitations. Recent studies from Google and the University…
By Sam Jeans · 7 min read
