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Six Tips for Evaluating Your Nonprofit Training Session

Beth's Blog: How Nonprofits Can Use Social Media

Using the ADDIE for designing your workshop, you arrive at the “E” or evaluation. ” While a participant survey is an important piece of your evaluation, it is critical to incorporate a holistic reflection of your workshop. There are two different methods to evaluate your training. Formative Evaluation.

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The most innovative companies in artificial intelligence for 2025

Fast Company Tech

Previously, the stunning intelligence gains that led to chatbots such ChatGPT and Claude had come from supersizing models and the data and computing power used to train them. o1 required more time to produce answers than other models, but its answers were clearly better than those of non-reasoning models.

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Evaluating speech synthesis in many languages with SQuId

Google Research AI blog

Posted by Thibault Sellam, Research Scientist, Google Previously, we presented the 1,000 languages initiative and the Universal Speech Model with the goal of making speech and language technologies available to billions of users around the world. Such evaluation is a major bottleneck in the development of multilingual speech systems.

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The Benefits of Hosting Small Fundraising Events vs. Large Galas

Nonprofit Tech for Good

It used to be that the decision to hold a fundraising event – and what kind – was determined by evaluating the revenue potential of a particular event and by what the expense would be to the organization, in both capital outlay and staffing time. The advantage of this model for the museum was threefold: .

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AVFormer: Injecting vision into frozen speech models for zero-shot AV-ASR

Google Research AI blog

Building audiovisual datasets for training AV-ASR models, however, is challenging. In contrast, the models themselves are typically large and consist of both visual and audio encoders, and so they tend to overfit on these small datasets. LibriSpeech ). LibriSpeech ). Unconstrained audiovisual speech recognition.

Model 103
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Deci lands $25M for tech that makes AI models more efficient

TechCrunch

Companies face several hurdles in creating text-, audio- and image-analyzing AI models for deployment across their apps and services. Cost is an outsize one — training a single model on commercial hardware can cost tens of thousands of dollars, if not more. ” Image Credits: Deci.

Model 99
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Accelerating Text Generation with Confident Adaptive Language Modeling (CALM)

Google Research AI blog

Posted by Tal Schuster, Research Scientist, Google Research Language models (LMs) are the driving force behind many recent breakthroughs in natural language processing. Models like T5 , LaMDA , GPT-3 , and PaLM have demonstrated impressive performance on various language tasks. The encoder reads the input text (e.g.,