Language models (LMs) exhibit harmful biases that can get worse with size. Reinforcement learning from human feedback (RLHF) helps, but not always enough. We show that simple prompting approaches can help LMs trained with RLHF produce less harmful outputs. https://
arxiv.org/abs/2302.07459
MACHINE LEARNING
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Prompting Techniques Reduce Harmful Biases in Large Language Models
By
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AI Glossary: Dimension, Curse of Dimensionality, Reduction
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In this @Cognilytica #AIToday #podcast AI Glossary Series episode 'Dimension, Curse of Dimensionality, Dimensionality Reduction' hosts @rschmelzer & @kath0134 define these terms & explain how they relate to #AI. Full episode: https://
aidatatoday.com/ai-today-podca
st-ai-glossary-series-dimension-curse-of-dimensionality-dimensionality-reduction/?utm_source=dlvr.it&utm_medium=twitter
…
#dataanalysis #ML #tech #data -
MLOps at the Edge: Bandwidth and Cost Savings
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Why do #MLOps at the edge? According to Kjell Carlsson, bandwidth and cost savings are key. Read more in the latest piece for @VentureBeat
: https://
domino.buzz/3It8wEn -
Implementing ML Projects: Learning from Production Approaches
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If you are looking to implement your ML project? Learn how other organizations approached the same machine learning in production. "Applied ML" has papers, articles, and blogs on data science & machine learning that helps you with that: Check this: http://
github.com/eugeneyan/appl
ied-ml
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AI Rapidly Transforming Programming and Software Development
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A sign of our times is seeing how AI permeates every single productive sector at a very rapid pace. PROGRAMMING will be no exception. And as an example, here's a combo of content from these programming cracks, where AI is increasingly the star
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Introduction to Differential Privacy for ML Models
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Finally, yours truly with a tutorial "Introduction to Differential Privacy." My goal was to go from 0 to the ideas needed to train an ML model privately in 1 hour. https://
youtube.com/watch?v=9lqd2U
INW-E
… Check out all the rest of the videos here: https://
youtube.com/playlist?list=
PLFG9vaKTeJq7MklvBGk31GeceuDB4Ofmp
… 4/4 -
Robustness in Machine Learning: Five-Year Retrospective
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Zico Kolter (
@zicokolter
) with the other keynote "Robustness in Machine Learning: A Five-Year Retrospective." Really disappointed to have missed this one at the conference, can't wait to check out the recording! https://
youtube.com/watch?v=jm4pfA
P_hPs
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Deep Neural Networks to Predict Extreme Phenomena
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Discovering and forecasting extreme phenomena through deep neural networks https://actuia.com/actualite/decouvrir-et-prevoir-les-phenomenes-extremes-grace-aux-reseaux-de-neurones-profonds/
… #AI #artificialintelligence #research -
Bing’s Chained Search Lookups: An Illustrative Example
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Example illustrating Bing's apparent ability to do chained sequences of search lookups:
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AI Revolutionizing Business Transformation Management
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AI Is Revolutionizing How Companies Manage Transformations https://
bcg.com/publications/2
023/artificial-intelligence-strategies-for-leading-business-transformation
… @BCG #AI #MachineLearning @ahier @CatherineAdenle @gvalan @Damien_CABADI #DataScience #BigData #Analytics #iot @FmFrancoise @BIScorecard @Shi4Tech @avrohomg @JAdP @enilev #DigitalTransformation