Remove International Remove Language Remove Model Remove Train
article thumbnail

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.

article thumbnail

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. Additionally, nonprofits can create their own custom-trained GPT chatbot with their custom data. The ChatGPT Plus Plan offers immense value.

Policy 334
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

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. Avoid Vendor and Model Lock-in: The AI space is still evolving rapidly.

article thumbnail

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. The Bias Issue AI systems like LLMs are trained on vast datasets of text, primarily from the internet. Have frank internal conversations about priorities.

article thumbnail

Doing good with AI tools: Navigating ethical considerations for the social sector 

Candid

Understanding bias and harm Modern AI tools are trained on vast amounts of mostly human-generated data. In many cases, the training data is curated from the internet, with all the prejudices and biases of the humans creating it. We continue to refine the data we use for training and evaluating our grants auto-coding system.

Tools 52
article thumbnail

#DontTrainOnMe: Are you Polluting your LLM Brand?

Whole Whale

There is a massive risk with using LLMs that train on your data, and part of that risk is that we don’t fully understand the scale of that risk as it gets bigger. This is a potent metaphor as LLMs (Large Language Models) are described as being trained on oceans of web and other data. Bigger is different.

Model 52
article thumbnail

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. You may also consider training for all employees to become more familiar with how your association uses data.