MIT Technology Review

Mechanistic interpretability

But last year we got the best sense yet of how LLMs function, as researchers at top AI companies began developing new ways to ...
Hosted on MSN

Large Language Models Get All the Hype, but Small Models Do the Real Work

There’s a paradox at the heart of modern AI: The kinds of sophisticated models that companies are using to get real work done and reduce head count aren’t the ones getting all the attention. Ever-more ...

Autocomplete: Large language models can repeat training data verbatim

Researchers show that LLMs can reproduce copyrighted training data almost verbatim. This means headaches for model providers.
Quanta Magazine

To Make Language Models Work Better, Researchers Sidestep Language

Language isn’t always necessary. While it certainly helps in getting across certain ideas, some neuroscientists have argued that many forms of human thought and reasoning don’t require the medium of ...
Morning Overview on MSN

Different AI models are converging on how they encode reality

Artificial intelligence systems that look nothing alike on the surface are starting to behave as if they share a common ...
Slator

Italian Benchmark Evaluates Large Language Models, Includes AI Translation

A new community-driven initiative evaluates large language models using Italian-native tasks, with AI translation among the ...

AI’s Memorization Crisis

O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...
Geeky Gadgets

Learn the Secrets of Building Your Own GPT-Style AI Large Language Model

What if you could demystify one of the most fantastic technologies of our time—large language models (LLMs)—and build your own from scratch? It might sound like an impossible feat, reserved for elite ...