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RIP Larry Prusak

Favorite  Sad news today that Larry Prusak, one of the founder figures of Knowledge Management, has died. In memoriam, here are some of Larry’s words of wisdom. “Those companies that don’t adapt to understanding knowledge as a force of production more important than land labour and capital, will slowly die,

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Shared by Nick Milton September 26, 2023

Improving your LLMs with RLHF on Amazon SageMaker

Favorite Reinforcement Learning from Human Feedback (RLHF) is recognized as the industry standard technique for ensuring large language models (LLMs) produce content that is truthful, harmless, and helpful. The technique operates by training a “reward model” based on human feedback and uses this model as a reward function to optimize

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Shared by AWS Machine Learning September 22, 2023

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