Gary Marcus, professor emeritus at NYU, explains the differences between large language models and "world models" — and why ...
Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.
Top AI researchers like Fei-Fei Li and Yann LeCun are developing world models, which don't rely solely on language.
Large language models (LLMs) deliver impressive results, but are they truly capable of reaching or surpassing human ...
VLJ tracks meaning across video, outperforming CLIP in zero-shot tasks, so you get steadier captions and cleaner ...
The next step in the evolution of generative AI technology will rely on ‘world models’ to improve physical outcomes in the real world.
Open-weight LLMs can unlock significant strategic advantages, delivering customization and independence in an increasingly AI ...
Large language model AIs might seem smart on a surface level but they struggle to actually understand the real world and model it accurately, a new study finds. When you purchase through links on our ...
“Sparks of artificial general intelligence,” “near-human levels of comprehension,” “top-tier reasoning capacities.” All of these phrases have been used to describe large language models, which drive ...
Courts and scholars are experimenting with artificial intelligence tools to help establish the ordinary meaning of words and phrases in statutes and contracts. A tone of cautious optimism—one ...
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