What can I use AI tools for?
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- University of Alberta: Which AI Tool Should You Use?With so many text-based generative AI tools available, deciding which one to use for a particular task can be difficult. One important consideration is whether the tool is grounded in a source of facts. Having access to current, real-world data can help prevent an AI tool from hallucinating.
- University of Arizona: Which AI tool for your task?Since there are so many generative AI tools these days, it can be difficult to decide which one to use for a particular task. A helpful way to think about this is to look at whether the tool is grounded in a source of facts.
Grounded vs. UnGrounded Generative AI
What is the difference between grounded and ungrounded generative AI?
Imagine a generative AI as a really good story writer. Here's the difference between grounded and ungrounded ones:
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Ungrounded AI: This is like a writer who relies purely on their imagination. They can create fantastical stories, poems, or scripts, but their work might not always be accurate or based on reality. For example, if you ask them for a news report, they might make up events or dates.
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Grounded AI: This is like a writer who does research. They can still be creative, but they also access real-world information to ground their stories. So, if you ask them for a news report, they can search the web and give you a factual summary based on real events.
Here's a breakdown of the key differences:
- Accuracy: Grounded AI is generally more accurate because it considers real-world information.
- Relevance: Grounded AI tailors its responses to the specific context you provide, making them more relevant.
- Trustworthiness: Since grounded AI is anchored in facts, its outputs are more trustworthy.
- Applications: Grounded AI is ideal for tasks where accuracy matters, like summarizing factual topics or generating code.
Ungrounded AI still has its uses! It's great for creative tasks where imagination is key, like writing fiction or generating different artistic styles.
Text Generated by Google Gemini
- Grounding Generative AIImagine having access to an intelligent and knowledgeable personal assistant. This assistant is mostly accurate and factual. The problem is that for every five factual and accurate responses you receive, you will also get one response that seems correct but contains false information. Would you be able to trust the assistant with critical tasks?
- What is the concept of grounded generation in AI, and how does it enhance the quality and relevance of generated content in natural language processing tasks?Grounded generation in AI refers to the process of generating language or text based on a specific grounding or context. This context could be derived from various sources, such as images, videos, or other forms of input data. The idea is to anchor or ground the generated content in real-world information, ensuring that it aligns with the given context.