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4 Ways Nonprofits Can Start Using AI in 2024

Nonprofit Tech for Good

Along with access to the latest version, ChatGPT 4 Turbo, which is the most intelligent model available at the time of writing, it also provides access to an array of additional tools. 2) Master the Art of Prompting Prompting is the language we use to communicate with Large Language Models (LLMs) like ChatGPT.

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Get More Out of AI, Start Chatting

.orgSource

Eliza was a natural language processing program created to explore the dynamics of conversation between humans and machines. Compared to today’s models, Eliza was tongue-tied. If you’ve been looking for an initiative to spark interdepartmental collaboration, a chatbot would be a good test case. Others are more complex.

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Study the Data, But Eat the Cake—Put the Human Factor Forward

.orgSource

Machine Learning, predictive modeling, and natural language processing are a few of the ways AI makes data more meaningful. Predictive modeling reveals future outcomes and trends with greater accuracy than traditional methods, enabling proactive decision-making and change management. It’s free with limited usage.

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How to Enhance Your Nonprofit’s Written Content with Artificial Intelligence

Nonprofit Tech for Good

” Its response neatly explained the nitty-gritty: “ ChatGPT is a large language model (LLM) developed by OpenAI. It is trained on a massive dataset of text and code, and it can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way.

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Build a Successful Team, Know Where Your People Thrive

.orgSource

In addition to being important for leaders like the CEO and the CTO, EI can also help anyone to organize effective teams and give them the ability to successfully collaborate. You can have the best governance model, but with the wrong people on the team, you won’t be successful.” The digital age is all about leadership.

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Connecting the dots: Fighting for equity through a data partnership 

Candid

They sought diverse perspectives in focus groups and made structural changes to address outdated language, power dynamics, and privacy concerns. Candid took note of the barriers nonprofits faced, created resources, and stayed true to their intent of reducing the nonprofits’ burden of providing data to multiple stakeholders.

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Top Ten Data Challenges (And Solutions) for Associations

Association Analytics

Older models tended to be AMS-centric, leading to siloed data, static reports, and that trapped feeling. It can be a challenge to get everyone on board with one language when things have been done differently in the past. Solution : One way to combat this challenge is to build out a central repository using a modern ecosystem.