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.

Skills 106

Skills Network Social Media Evaluation 106

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.

Instructional Design 113

Instructional Design Instructional Instruction Train 113

The AI Alignment Forum

FEBRUARY 20, 2025

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 Learning Theory (SLT) [ 1 , 2 , 3 , 4 , 5 , 6 ]. We scaled key SLT-derived techniques to models with billions of parameters, eliminating our main concerns around tractability.

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Technique Sample Structure Train 52

The AI Alignment Forum

FEBRUARY 28, 2025

In general, there are many ways to get an AI system to do what we want for example, we can use supervised learning, imitation learning, prompting, or reward maximisation. In some cases we can also use more exotic methods, such as direct manipulation of latent activation vectors in trained models. If so, IRL will probably work!

Research 40

Research Learning Method Policy 40

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. Smith, Scott W.

Contact 40

Contact Learning Theory Authoring Offline 40

Stanford AI Lab Blog

APRIL 25, 2022

Manning, Jure Leskovec Contact : xikunz2@cs.stanford.edu Award nominations: Spotlight Links: Paper | Website Keywords : knowledge graph, question answering, language model, commonsense reasoning, graph neural networks, biomedical qa Fast Model Editing at Scale Authors : Eric Mitchell, Charles Lin, Antoine Bosselut, Chelsea Finn, Christopher D.

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Contact Award Authoring Language 40

The AI Alignment Forum

FEBRUARY 7, 2025

This guide provides an opinionated overview of recent work and open problems across areas like adversarial testing, model transparency, and theoretical approaches to AI alignment. Robust unlearning: One idea for reducing AI risks is to remove models' knowledge of potentially dangerous topics, such as cybersecurity exploits or virology.

Research 52

Research Fund Open Technique 52

ASU Lodestar Center

OCTOBER 16, 2020

Drawing from adult learning theories, ECB utilizes a variety of strategies such as: Vehicle of instruction: face-to-face meetings, teleconferences, classroom style learning, web-based mechanisms, manuals, etc. The evaluator takes on many roles: facilitator, technical expert, and sometimes a shoulder to cry.

Evaluation 52

Evaluation Program Nonprofit Attitude 52

The AI Alignment Forum

FEBRUARY 28, 2025

In particular, when a reward model is optimised, then ordinary statistical learning theory tells us that this model eventually will have a good generalisation error relative to the training distribution. Moreover, when a reward model is optimised, this effectively incurs a distributional shift.

Learning 40

Learning Discussion Classes Policy 40

Museum 2.0

JUNE 2, 2010

A few things I learned from the presentations and discussion: Dan shared a useful 4-step mental model for the progression of how institutions move towards participatory engagement. Basically, the idea is that most organizations learn in a single loop that connects programs to results.

Slides 22

Slides Museum Participatory San Jose 22

Beth's Blog: How Nonprofits Can Use Social Media

JUNE 29, 2016

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.

Train 60

Train Training Design Tech 60

DataRobot

APRIL 21, 2022

This increase in accuracy is important to make AI applications good enough for production , but there has been an explosion in the size of these models. It is safe to say that the accuracy hasn’t been linearly increasing with the size of the model. They define it as “buying” stronger results by just throwing more compute at the model.

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Green Environment Metrics Measure 145

Google Research AI blog

NOVEMBER 28, 2022

Platt , Fernando Pereira , Dale Schuurmans Keynote Speakers The Data-Centric Era: How ML is Becoming an Experimental Science Isabelle Guyon The Forward-Forward Algorithm for Training Deep Neural Networks Geoffrey Hinton Outstanding Paper Award Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding Chitwan Saharia , William Chan (..)

Google 52

Google Language Tutorial Offline 52

The AI Alignment Forum

MARCH 28, 2025

One way is to see if it helps us prove things about models that we care about knowing. In this episode, I speak with Jason Gross about his agenda to benchmark interpretability in this way, and his exploration of the intersection of proofs and modern machine learning. Whats the theme? Jason Gross (00:01:02): Okay.

Model 52

Model Network Training Train 52