Talk:Noisy data

Can AI get the right answer from noisy data?

Please consider adding a passage from this Los Alamos National Laboratory research project page.

"Large language models (LLMs), the machine-learning algorithms that comprehend and generate text and images for AI platforms, have shown themselves incredibly adept at handling tons of noisy data. The ability to find patterns in enormous datasets make LLMs appealing, but some worry that these models can be imprecise.

Scientists at Los Alamos National Laboratory are working to understand when and why an AI model might produce inaccurate results. Specifically, they are asking: Which noise in the data can safely be ignored and which noise is actually misleading?"

Can AI get the right answer from noisy data? | LANL

@Hawkeye7 @Path2space

ScienceWriter100 (talk) 18:29, 18 July 2025 (UTC)

Thanks for including me. I'd defer to other editors knowledgeable of this area of technology. Path2space (talk) 19:45, 18 July 2025 (UTC)

Got it, thanks. ScienceWriter100 (talk) 14:24, 21 July 2025 (UTC)

Is there a better source available? The one you've linked is basically a press release. ~Kvng (talk) 14:58, 25 July 2025 (UTC)