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Six Tips for Evaluating Your Nonprofit Training Session

Beth's Blog: How Nonprofits Can Use Social Media

There are two different methods to evaluate your training. Use Learning Theory. I have written a lot about how it is important to understand how the brain works, how people learn by using learning theories to guide the design of your workshops. to define the four levels of training evaluation.

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How To Think Like An Instructional Designer for Your Nonprofit Trainings

Beth's Blog: How Nonprofits Can Use Social Media

Designing and delivering a training to a nonprofit audience is not about extreme content delivery or putting together a PowerPoint and answering questions. If you want to get results, you need to think about instructional design and learning theory. And, there is no shortage of learning theories and research.

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Stanford AI Lab Papers and Talks at NeurIPS 2021

Stanford AI Lab Blog

Kochenderfer Contact : philhc@stanford.edu Links: Paper Keywords : deep learning or neural networks, sparsity and feature selection, variational inference, (application) natural language and text processing Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss Authors : Jeff Z.

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Other Papers About the Theory of Reward Learning

The AI Alignment Forum

We also managed to leverage these results to produce a new method for conservative optimisation, that tells you how much (and in what way) you can optimise a proxy reward, based on the quality of that proxy (as measured by a STARC metric ), in order to be guaranteed that the true reward doesnt decrease (and thereby prevent the Goodhart drop).

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Research directions Open Phil wants to fund in technical AI safety

The AI Alignment Forum

Were interested in more research on this, and other stress tests of todays state-of-the-art alignment methods. We want to fund research that identifies the conditions under which these failure modes occur, and makes progress toward robust methods of mitigating or avoiding them.

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Guest Post: Community and Civic Engagement in Museum Programs

Museum 2.0

The purpose of my thesis was two-fold: To research and analyze community and civic engagement practices, methods, theories and examples in other museum programs. To apply the results of my analysis to produce a community-driven program design specifically for implementation at the Santa Cruz Museum of Art & History (the MAH).

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Google at NeurIPS 2022

Google Research AI blog

Derrick Xin , Behrooz Ghorbani , Ankush Garg , Orhan Firat , Justin Gilmer Associating Objects and Their Effects in Video Through Coordination Games Erika Lu , Forrester Cole , Weidi Xie, Tali Dekel , William Freeman , Andrew Zisserman , Michael Rubinstein Increasing Confidence in Adversarial Robustness Evaluations Roland S.

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