The method, called Verbalized Sampling (VS), helps models like GPT-4, Claude, and Gemini produce more diverse and human-like outputs—without retraining or access to internal parameters. It is ...
Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...
Recently, there has been a lot of hullabaloo about the idea that large reasoning models (LRM) are unable to think. This is ...
Morning Overview on MSN
OpenAI faces backlash for awkward math blunder
OpenAI’s recent GPT-5 demo has been marred by a series of math errors and hallucinations, raising concerns about the model’s ...
When machine learning is used to suggest new potential scientific insights or directions, algorithms sometimes offer ...
For many tasks in corporate America, it’s not the biggest and smartest AI models, but the smaller, more simplistic ones that ...
Turns out, you don’t need a trillion-parameter model to get things done. Smaller, focused AIs are stealing the spotlight for ...
Could slightly elevated blood sugar levels lead to serious health problems in the future? A single patient's question sparked ...
One month into the school year, my math classroom is buzzing with familiar rhythms: assessments, routines and students still ...
Interesting Engineering on MSN
How a math theory born in Cold War might hold clues to when humanity disappears
Could math predict humanity’s end? The Carter catastrophe suggests we might be living closer to the finale than we realize.
When machine learning is used to suggest new potential scientific insights or directions, algorithms sometimes offer solutions that are not physically ...
MathFactLab, founded by former Essex Westford elementary school teacher Mike Kenny, now has more than 1 million users all ...
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