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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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Still Confused About AI, Learn the Facts A-Bot Us!

.orgSource

The beauty of this technology is its limitless potential. Absolutely no other technology has made such a tremendous impact on business or society so quickly,” David noted. Mini Code, Multiple Connections “There is a tendency to think of large language models as massive programs,” David said. Let me begin with a disclaimer.

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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. These powerful technologies have inherent racial biases baked into them. Feed the system explicit instructions and examples displaying equitable behavior.

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Seven ATLIS Sessions You Don’t Want to Miss

sgEngage

Inspired by more than 40 years of collaboration with private school leaders, Blackbaud has created a track of sessions for ATLIS 2024 , the Association of Technology Leaders in Independent Schools’ annual conference. But how do you unlock this power without knowing how to write code? Where do you start?

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Web Application Frameworks

Zen and the Art of Nonprofit Technology

I know a lot of pretty serious geeks read this blog, but I also know some folks who aren’t do too, and I figured it was time to do a quick outline of web application frameworks, and how they differ from things like a CMS. However, how that HTML, CSS and JS is generated varies depending on the system underneath.

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Remote Technology in the Pandemic: Rebalancing Toward Equity and Access

Non Profit Quarterly

If the pandemic forced us onto new and unfamiliar ground, now is the time to assess and balance how technologies have affected our reach, for better and for worse. We wanted to know how technology use has changed in volunteer management, especially through the pandemic. and Canada about their technology use.

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From Data Deluge to Impactful Decisions: Mastering Data in Grantmaking

sgEngage

Applications, proposals, progress reports, impact metrics – the data collected throughout the grantmaking lifecycle is vast and ever-growing. Data Silos: Information may get trapped in departmental systems, hindering a holistic view of program effectiveness and impact. Grantmakers are swimming in a sea of information.

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