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As a trainer and facilitator who works with nonprofit organizations and staffers, you have to be obsessed with learningtheory to design and deliver effective instruction, have productive meetings, or embark on your own self-directed learning path. Internal: These theories take into account our minds and bodies.
In addition, I’m also doing a lot of training of other trainers and am now an Adjunct Professor at the Monterey Institute for International Studies (a graduate school of Middlebury College). I use a simple structure to design: before, during, and after. The learning model is called “SAVI ” : Moving and doing (Somatic).
Published on February 20, 2025 11:54 PM GMT TLDR: We made substantial progress in 2024: We published a series of papers that verify key predictions of Singular LearningTheory (SLT) [ 1 , 2 , 3 , 4 , 5 , 6 ]. The learning process picks out the algorithms a model learns and thus how it generalizes. in funding for 2025.
Posted by Catherine Armato, Program Manager, Google The Eleventh International Conference on Learning Representations (ICLR 2023) is being held this week as a hybrid event in Kigali, Rwanda. We are proud to be a Diamond Sponsor of ICLR 2023, a premier conference on deep learning, where Google researchers contribute at all levels.
ECB involves a series of steps taken by an evaluator (internal or external) to build evaluative knowledge and skills, create a culture of continuous learning and accountability, and make resources readily available. What level of interest and incentives to learn and implement evaluation are present? Implement ECB strategies.
The International Conference on Learning Representations (ICLR) 2022 is being hosted virtually from April 25th - April 29th. Feel free to reach out to the contact authors directly to learn more about the work that’s happening at Stanford!
Some approaches are feasible without an understanding of the models learned mechanisms, while other techniques may become possible with the invention of interpretability methods that more comprehensively decompose an AIs internal mechanisms into components that can be understood and intervened on individually.
Daniel Filan (00:28:50): If people remember my singular learningtheory episodes , theyll get mad at you for saying that quadratics are all there is, but its a decent approximation. (00:28:56): Theres a little bit of structure but not very much. I think this looks a lot like what ARC theory is doing with heuristic arguments.
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