Attention Evaluation Learning Theory 
Beth's Blog: How Nonprofits Can Use Social Media
DECEMBER 23, 2011
This book is filled with great tips on designing engaging learning experiences that help your participants connect, inspire, and engage. The model balances content, learning design, and participants. The ideas, tips, and tricks are grounded in adult learning theory, but the book is very practical.
Beth's Blog: How Nonprofits Can Use Social Media
JANUARY 27, 2014
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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Google Research AI blog
APRIL 30, 2023
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. Mukund Varma T.
Stanford AI Lab Blog
DECEMBER 6, 2021
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.
The AI Alignment Forum
FEBRUARY 7, 2025
We think this adversarial style of evaluation and iteration is necessary to ensure an AI system has a low probability of catastrophic failure. Wed like to support more such evaluations, especially on scalable oversight protocols like AI debate. and Which rules are LLM agents happy to break, and which are they more committed to? .
The AI Alignment Forum
FEBRUARY 28, 2025
Some relevant criteria for evaluating a specification language include: How expressive is the language? However, this is not the only option, and it is not self-evident that it is the right choice. Some other notable options include e.g. multi-objective RL, temporal logic, or different kinds of non-Markovian rewards.
Museum 2.0
SEPTEMBER 26, 2012
We attentively respond to requests and purposefully use different modes of feedback to inform program design from our comment board, social media outlets, conversations and observations both inside and outside the museum, creative feedback at events such as our Show and Tell Booth and online visitor surveys specific to our programs.
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