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4 Steps For Funders To Shape Data For Applications, Benefits

The NonProfit Times

Marginalized and underserved communities have not traditionally had access to data resources that could benefit them. As such, they often miss out on benefits such as tailored medical care, sustainable resource use and culture and language preservation. The issues examined by the council went beyond opportunities.

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4 Ways Nonprofits Can Start Using AI in 2024

Nonprofit Tech for Good

The nonprofit sector, often stretched for resources and expertise, is uniquely positioned to benefit from the efficiencies and opportunities offered by Artificial Intelligence (AI). Additionally, nonprofits can create their own custom-trained GPT chatbot with their custom data. This brings us to our next point.

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professionals

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What Business Application Training Accomplishes

Gyrus

What Business Application Training Accomplishes. In corporate training programs, often the focus is strictly on compliance. Nothing turns potential consumers off quicker than an initial correspondence that makes them feel as if they are speaking to someone unable to process their business language. Problem Solving.

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RAG-Enhanced Conversational AI: A Comprehensive Guide

Forum One

The introduction of Retrieval-Augmented Generation, or RAG, now allows AI applications to enhance the capabilities of machine learning models by integrating them with a retrieval component. However, developing these conversational AI applications in a robust, scalable, and efficient way is no easy task.

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Move DEI Beyond Words

.orgSource

Your team may need to be educated about the urgency for and the benefits of embarking on a diversity plan. A professional DEI training program can help people identify blind spots and biases while maintaining a safe and supportive atmosphere. Create a more inclusive culture by providing DEI training to directors and staff.

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If Racial Equity is Our North Star, How Can We Navigate Racial Bias in AI/LLMs?

John Kenyon

For nonprofits and grantmaking organizations committed to racial equity, using artificial intelligence (AI) and large language models (LLMs) raises important concerns. However, they also offer intriguing potential benefits. The Bias Issue AI systems like LLMs are trained on vast datasets of text, primarily from the internet.

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Harnessing generative AI for good

Candid

Rather than getting swept away by the allure of generative AI and casting about for some possible application (like a hammer looking for a nail), we should start instead by deeply understanding the problem we aim to solve from the perspectives of those directly impacted. But training and running large language models is expensive.