Google's Chain of Thought Prompting Can Boost Today's Best Algorithms - Search Engine Journal

Google published details of a breakthrough technology that significantly improves Google's newest cutting edge algorithms

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Google announced a breakthrough research in Natural Language Processing called Chain of Thought Prompting that raises the state of the art of advanced technologies like PaLM and LaMDA to what the researchers call a remarkable level.

The fact that Chain of Thought Prompting can improve PaLM and LaMDA at these significant rates is a big deal.

LaMDA and PaLM

The research conducted experiments using two language models, Language Model for Dialogue Applications (LaMDA) and Pathways Language Model (PaLM).

LaMDA is a model focused on conversation, like a chatbot but also can be used for many other applications that require speaking, dialogue.

PaLM is a model that follows what Google calls the Pathways AI architecture where a language model is trained to learn how to solve problems.

Previously machine learning models were trained to solve one kind of problem and they’d be set loose essentially to do that one thing really well. But in order to do something else Google would have to train a new model.

The Pathways AI architecture is a way to create a model that can solve problems that it hasn’t necessarily seen before.

As quoted in the Google PaLM explainer:

“…we’d like to train one...

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