This thesis is focused on creating a guide about generative artificial intelligence (AI) for people who are not experts in the field. The goal is to explain the technology in a clear and easy way, starting with a basic introduction to what generative AI is and how it works. The thesis then describes different models, discussing their main features, performance, and what makes each of them unique. A comparison of the models follows, showing where each one performs best and where they may have limitations. Successful real-world examples are also included to illustrate how generative AI is used in various industries. Finally, the guide suggests ways these models can be applied to solve problems and create new opportunities. This guide is designed to be practical and accessible for anyone interested in understanding the potential of generative AI, even without a technical background.
This thesis is focused on creating a guide about generative artificial intelligence (AI) for people who are not experts in the field. The goal is to explain the technology in a clear and easy way, starting with a basic introduction to what generative AI is and how it works. The thesis then describes different models, discussing their main features, performance, and what makes each of them unique. A comparison of the models follows, showing where each one performs best and where they may have limitations. Successful real-world examples are also included to illustrate how generative AI is used in various industries. Finally, the guide suggests ways these models can be applied to solve problems and create new opportunities. This guide is designed to be practical and accessible for anyone interested in understanding the potential of generative AI, even without a technical background.
Generative AI models: evaluations, comparison and critical aspects
TAGLIAPIETRA, JACOPO
2023/2024
Abstract
This thesis is focused on creating a guide about generative artificial intelligence (AI) for people who are not experts in the field. The goal is to explain the technology in a clear and easy way, starting with a basic introduction to what generative AI is and how it works. The thesis then describes different models, discussing their main features, performance, and what makes each of them unique. A comparison of the models follows, showing where each one performs best and where they may have limitations. Successful real-world examples are also included to illustrate how generative AI is used in various industries. Finally, the guide suggests ways these models can be applied to solve problems and create new opportunities. This guide is designed to be practical and accessible for anyone interested in understanding the potential of generative AI, even without a technical background.File | Dimensione | Formato | |
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Tagliapietra_Jacopo.pdf
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https://hdl.handle.net/20.500.12608/80933