Modern LLMs are trained on massive amounts of data, but this data pales in comparison to the data a human child is ...
Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...
Cisco Talos Researcher Reveals Method That Causes LLMs to Expose Training Data Your email has been sent In this TechRepublic interview, Cisco researcher Amy Chang details the decomposition method and ...
There are concerns that we could’ve run out of human-generated data to train LLMs, but new data for training AI systems could ...
The more I read about the inner workings of the LLM AIs the more I fear that at some point the complexity will far exceed what anyone can understand what it is doing or its limitations. So it will be ...
Think back to middle school algebra, like 2 a + b. Those letters are parameters: Assign them values and you get a result. In ...
As we head into 2026, continuous education around the nuances and misconceptions of AI will support process industries—and ...
“I’m not so interested in LLMs anymore,” declared Dr. Yann LeCun, Meta’s Chief AI Scientist and then proceeded to upend everything we think we know about AI. No one can escape the hype around large ...
Contrary to long-held beliefs that attacking or contaminating large language models (LLMs) requires enormous volumes of malicious data, new research from AI startup Anthropic, conducted in ...
In recent months, the AI industry has started moving toward so-called simulated reasoning models that use a “chain of thought” process to work through tricky problems in multiple logical steps. At the ...
Most of us feel like we’re drowning in data. And yet, in the world of generative AI, a looming data shortage is keeping some researchers up at night. GenAI is unquestionably a technology whose ...
World models are the building blocks to the next era of physical AI -- and a future in which AI is more firmly rooted in our reality.