Alternative Free Learning Theory 
Beth's Blog: How Nonprofits Can Use Social Media
FEBRUARY 18, 2014
Alternately, you may feel so good about it and say my job is done. Use Learning Theory. To guide evaluation, there are several learning theories, including The Four Levels of Evaluation, also referred to as the Kirkpatrick Evaluation Model , was created by Donald Kirkpatrick, Ph.D.
Beth's Blog: How Nonprofits Can Use Social Media
JANUARY 27, 2014
Join me for a FREE Webinar: Training Tips that Work for Nonprofits on Jan.29th 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. 29th at 1:00 PM EST/10:00 AM PST.
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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.
Museum 2.0
SEPTEMBER 26, 2012
Implementing participatory activities and constructivist learning theories allow the learner to actively experiment cognitively and physically, individually and socially, and to collectively build meaning and knowledge.
The AI Alignment Forum
FEBRUARY 7, 2025
Alternatives to adversarial training : Adversarial training (and the rest of todays best alignment techniques) have failed to create LLM agents that reliably avoid misaligned goals. Alternative approaches to mitigating AI risks These research areas lie outside the scope of the clusters above. Sheshadri et al., and Zeng et al.
The AI Alignment Forum
MAY 8, 2025
Use perturbation analysis along the lines of the singular learning theory (SLT) susceptibility direction, using structure in weights to identify if there is additional training data which would have an out-sized effect on reward, indicating exploration hacking. Alternatively, open the images in a new tab and zoom in.
The AI Alignment Forum
MAY 2, 2025
As a result of no-free-lunch theorems (see e.g. Shalev-Shwartz and Shai Ben-David ), it is impossible for an agent to consider all environments equally possible in the prior, or even to consider all environments possible in the first place. Over time, the agent may rule out hypotheses that must be wrong based on observations.
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