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Creating a Nonprofit Digital Strategy with ChatGPT: A Practical Guide

Nonprofit Tech for Good

Explore how the strategic integration of SWOT analysis, audience mapping, SMART communication targets, channel identification, content strategy, execution and evaluation, and high-level communications planning can shape a successful digital transformation. The following prompt and instructions can help you develop it.

Digital 305
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Visual language maps for robot navigation

Google Research AI blog

Building robots that are proficient at navigation requires an interconnected understanding of (a) vision and natural language (to associate landmarks or follow instructions), and (b) spatial reasoning (to connect a map representing an environment to the true spatial distribution of objects).

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Geo-Tagged Map Shows Impact of Hurricane Joaquin in Real Time

VisionLink

Map illustrates damage reports as hurricane hits North Carolina. 5, 2015— VisionLink , a community inspired software and consulting company, has developed a free, shareable, real-time, geo-tagged map depicting actual damage reports produced by Hurricane Joaquin. BOULDER, Colo. — Douglas Zimmerman , president and CEO of VisionLink.

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Larger language models do in-context learning differently

Google Research AI blog

Learning the input-label mappings in context from the presented examples (e.g., finding a pattern that positive reviews should be mapped to one label, and negative reviews should be mapped to a different label). 90% → 22.5% for code-davinci-002).

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Using Service Design to Map Your Digital Ecosystem

Forum One

Two of our most used service design activities are ecosystem mapping and service blueprinting. Ecosystem mapping is a visual representation of all the components of an ecosystem, physical or digital, while service blueprinting creates a visual representation of a journey from both the “front stage” and “backstage” perspectives.

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Pic2Word: Mapping pictures to words for zero-shot composed image retrieval

Google Research AI blog

To address this fact, composed image retrieval (CIR) retrieves images based on a query that combines both an image and a text sample that provides instructions on how to modify the image to fit the intended retrieval target. To that end, we use a lightweight mapping sub-module in CLIP that is designed to map an input picture (e.g.,

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Mapping out the future of AR, ThirdEye is taking on Google and Microsoft in real-life scenarios

TechCrunch

A combat medic gets instructions via the ThirdEye glasses. Mapping out the future of AR, ThirdEye is taking on Google and Microsoft in real-life scenarios by Haje Jan Kamps originally published on TechCrunch Image Credits: ThirdEye And that’s just the beginning.

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