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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). 2) Master the Art of Prompting Prompting is the language we use to communicate with Large Language Models (LLMs) like ChatGPT.

Policy 334
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Preparing Your Association for AI

Association Analytics

Types of AI Tools To start, it’s important to know about some of the models already available to the public. The most popular model today is called a Large Language Model (LLM) , which is trained on massive text datasets. LLMs are meant to produce conversational human language responses.

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Want To Be a Leader? Get to Know Yourself

.orgSource

And, without self-awareness, it’s impossible to be a role model for others. We’ve found that internal self-awareness is associated with higher job and relationship satisfaction, personal and social control, and happiness; it is negatively related to anxiety, stress, and depression. It sounds simple. The first. Observe behavior.

Awareness 221
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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. Have frank internal conversations about priorities. Here are some tips: Discuss values upfront.

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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. Each type of solution has benefits and drawbacks, so it’s important to understand the landscape and map the right solution to the use case at hand.

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5 Ways For Civil Society To Engage With AI

The NonProfit Times

Key to maximizing AI’s personal productivity benefit is stepwise prompting. Then, make section-specific requests and correct as you go, similar to guiding a talented intern. Therefore, the underlying large language model (LLM) matters as it shapes the “most likely” predictions. AI learns from your feedback.

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#DontTrainOnMe: Are you Polluting your LLM Brand?

Whole Whale

This is a potent metaphor as LLMs (Large Language Models) are described as being trained on oceans of web and other data. So, the risk of just putting a small amount of your sensitive data in the next model is like a drop in that ocean, not a problem. ” So you’re telling me there’s a chance? Bigger is different.

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