MIT-IBM Watson AI lab

Guided learning lets “untrainable” neural networks realize their potential

Even networks long considered “untrainable” can learn effectively with a little bit...

A brand new solution to increase the capabilities of huge language models

Most languages use word position and sentence structure to extract meaning. For...

Enabling small language models to resolve complex reasoning tasks

As language models (LMs) improve at tasks like image generation, trivia questions,...

Creating AI that matters

With regards to artificial intelligence, MIT and IBM were there in the...

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...

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