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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.
If you want to get results, you need to think about instructional design and learningtheory. And, there is no shortage of learningtheories 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.
Drawing from adult learningtheories, ECB utilizes a variety of strategies such as: Vehicle of instruction: face-to-face meetings, teleconferences, classroom style learning, web-based mechanisms, manuals, etc. She earned a Bachelor’s in both Psychology and Anthropology from the University of Central Florida.
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 ]. In practice, the scaling is highly sublinear. AISTATS 2025, Arxiv [1] , LW ] Developmental Stages in Transformers.
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.
The session not only included training tips, but modeled them during the session so that the audience interacted and practiced skills directly. The 2016 session took all of the trainers’ lessons learned from the previous session and improved upon the presentation and exercises. This post was originally published on the NTEN Blog.
They are used for different applications, but nonetheless they suggest that the development in infrastructure (access to GPUs and TPUs for computing) and the development in deep learningtheory has led to very large models. For us, we believe in using efficiency metrics in machine learning software.
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