Distilling step-by-step: Outperforming larger language models with less training data and smaller model sizes

Favorite Posted by Cheng-Yu Hsieh, Student Researcher, and Chen-Yu Lee, Research Scientist, Cloud AI Team Large language models (LLMs) have enabled a new data-efficient learning paradigm wherein they can be used to solve unseen new tasks via zero-shot or few-shot prompting. However, LLMs are challenging to deploy for real-world applications

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Shared by Google AI Technology September 21, 2023

To trust AI, it must be open and transparent. Period.

Favorite [SPONSOR OPINION] By Heather Meeker, OSS Capital Machine learning has been around for a long time. But in late 2022, recent advancements in deep learning and large language models started to change the game and come into the public eye. And people started thinking, “We love Open Source software,

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Shared by voicesofopensource September 14, 2023