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Merge pull request #716 from angpt/setup-readme-patch
Update README.md
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01-introduction-to-genai/README.md

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@@ -109,7 +109,7 @@ The input of a large language model is known as a prompt, while the output is kn
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![Coding example](./images/coding-example.png?WT.mc_id=academic-105485-koreyst)
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The examples above are quite simple and don’t want to be an exhaustive demonstration of Large Language Models capabilities. They just want to show the potential of using generative AI, in particular but not limited to educational contexts.
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The examples above are quite simple and are not intended to be an exhaustive demonstration of Large Language Models' capabilities. They are meant to show the potential of using generative AI, in particular but not limited to educational contexts.
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Also, the output of a generative AI model is not perfect and sometimes the creativity of the model can work against it, resulting in an output which is a combination of words that the human user can interpret as a mystification of reality, or it can be offensive. Generative AI is not intelligent - at least in the more comprehensive definition of intelligence, including critical and creative reasoning or emotional intelligence; it is not deterministic, and it is not trustworthy, since fabrications, such as erroneous references, content, and statements, may be combined with correct information, and presented in a persuasive and confident manner. In the following lessons, we’ll be dealing with all these limitations and we’ll see what we can do to mitigate them.
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