IFLScience on MSN
AI models can pass on bad habits through training data, even when there are no obvious signs in the data itself
Large language models can transmit harmful behavior to one another through training data, even when that data lacks any ...
Large language models aren’t trained on real-life conversations. As we encounter their language, it could affect our own ...
The Chosun Ilbo on MSN
Harmful AI tendencies spread via distillation training
A study has found that large language models (LLMs) can propagate even hidden harmful tendencies to other artificial intelligence (AI) models during the training process. There are concerns that a ...
A team at APL has developed the capability to build a large language model from the ground up, positioning the Laboratory to ...
A new academic study challenges a core assumption in developing large language models (LLMs), warning that more pre-training data may not always lead to better models. Researchers from some of the ...
Using artificial-intelligence to teach other models can be cheaper and faster than building them from scratch, but this ...
World models are getting substantial funding. What is a world model, how does it compare to a large language model, and what ...
Have you ever found yourself deep in the weeds of training a language model, wishing for a simpler way to make sense of its learning process? If you’ve struggled with the complexity of configuring ...
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