Researchers show that LLMs can reproduce copyrighted training data almost verbatim. This means headaches for model providers.
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 ...
Morning Overview on MSN
AI might not need huge training sets, and that changes everything
For a decade, the story of artificial intelligence has been told in ever larger numbers: more parameters, more GPUs, more ...
Tech Xplore on MSN
Model steering is a more efficient way to train AI models
Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...
Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their ...
An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...
Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...
As recently as 2022, just building a large language model (LLM) was a feat at the cutting edge of artificial-intelligence (AI) engineering. Three years on, experts are harder to impress. To really ...
Large language models have grown so vast and complex that even the people who build them no longer fully understand how they work. A single modern ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results