Large language models repeatedly chased losses, escalated risk and even bankrupted themselves in simulated gambling ...
Top AI researchers like Fei-Fei Li and Yann LeCun are developing world models, which don't rely solely on language.
News-Medical.Net on MSN
AI language models actually help in digestive disease care
Large language models could transform digestive disorder management, but further RCTs are essential to validate their ...
Opinion
New Platform Challenges AI Industry Hype, Advocates for Embodied Intelligence Over Language Models
Emerging Voice in Tech Analysis Questions Trillion-Dollar AI Valuations and Points to Robotics as True Future of Artificial Intelligence The real value of AI will come from the systems we build around ...
Gary Marcus, professor emeritus at NYU, explains the differences between large language models and "world models" — and why he thinks the latter are key to achieving artificial general intelligence.
Tech Xplore on MSN
AI models stumble on basic multiplication without special training methods, study finds
These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...
Open-weight LLMs can unlock significant strategic advantages, delivering customization and independence in an increasingly AI ...
Are tech companies on the verge of creating thinking machines with their tremendous AI models, as top executives claim they are? Not according to one expert. We humans tend to associate language with ...
APA has a mental health evaluation framework. I opted to augment the framework with an added focus on AI. Makes sense and is ...
Mark Stevenson has previously received funding from Google. The arrival of AI systems called large language models (LLMs), like OpenAI’s ChatGPT chatbot, has been heralded as the start of a new ...
AI systems that understand and generate text, known as language models, are the hot new thing in the enterprise. A recent survey found that 60% of tech leaders said that their budgets for AI language ...
This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
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