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How To Think Like An Instructional Designer for Your Nonprofit Trainings

Beth's Blog: How Nonprofits Can Use Social Media

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. As someone who has been designing and delivering training for nonprofits over the past twenty years, the most exciting part is apply theory to your practice.

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Strengthening program evaluation in your nonprofit

ASU Lodestar Center

What level of interest and incentives to learn and implement evaluation are present? Does the environment support change, accountability, and communication? What does the decision making and organizational structure look like? What attitudes toward evaluation are present? Identify champions and people to work with.

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Google at ICLR 2023

Google Research AI blog

If you’re registered for ICLR 2023, we hope you’ll visit the Google booth to learn more about the exciting work we’re doing across topics spanning representation and reinforcement learning, theory and optimization, social impact, safety and privacy, and applications from generative AI to speech and robotics.

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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. Altman, Ron O.

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Research directions Open Phil wants to fund in technical AI safety

The AI Alignment Forum

Were especially interested in inputs which might arise organically over the course of deploying an LLM agent in an environment. But there are many ways to design the game and define red or blue team victory conditions within this high-level structure. Wen et al. , Staab et al. and Chen et al. See Branwen for related work.

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Google at NeurIPS 2022

Google Research AI blog

A Workshop for Algorithmic Efficiency in Practical Neural Network Training Workshop Organizers include: Zachary Nado , George Dahl , Naman Agarwal , Aakanksha Chowdhery Invited Speakers include: Aakanksha Chowdhery , Priya Goyal Human in the Loop Learning (HiLL) Workshop Organizers include: Fisher Yu, Vittorio Ferrari Invited Speakers include: Dorsa (..)

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