MIT-IBM Watson AI lab

How you can construct AI scaling laws for efficient LLM training and budget maximization

When researchers are constructing large language models (LLMs), they aim to maximise...

Training LLMs to self-detoxify their language

As we mature from childhood, our vocabulary — in addition to the...

Can robots learn from machine dreams?

For roboticists, one challenge towers above all others: generalization — the power...

Enhancing LLM collaboration for smarter, more efficient solutions

Ever been asked an issue you simply knew a part of the...

MIT researchers advance automated interpretability in AI models

As artificial intelligence models turn out to be increasingly prevalent and are...

Reasoning skills of enormous language models are sometimes overestimated

In relation to artificial intelligence, appearances will be deceiving. The mystery surrounding...

Technique could efficiently solve partial differential equations for various applications

In fields reminiscent of physics and engineering, partial differential equations (PDEs) are...

Image recognition accuracy: An unseen challenge confounding today’s AI

Imagine you might be scrolling through the photos in your phone and...

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