{"id":1335,"date":"2025-03-26T15:55:16","date_gmt":"2025-03-26T19:55:16","guid":{"rendered":"https:\/\/it.purdue.edu\/ai\/?page_id=1335"},"modified":"2025-12-18T22:39:34","modified_gmt":"2025-12-19T03:39:34","slug":"generative-ai","status":"publish","type":"page","link":"https:\/\/it.purdue.edu\/ai\/generative-ai\/","title":{"rendered":"Generative AI best practices and guidelines"},"content":{"rendered":"\n
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\n shaping the future <\/p>\n

\n Generative AI at Purdue University <\/h1>\n

\n Explore best practices for leveraging AI while safeguarding university assets and upholding Purdue’s commitment to technology advancement and innovation. <\/p>\n

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ABOUT GENAI <\/h2>\n \n
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What is Generative AI?<\/h3> <\/div>\n
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Generative AI refers to artificial intelligence systems that can generate new content \u2014 like text, images, music, videos, and even code \u2014 based on the data they\u2019ve been trained on.<\/p>\n\n <\/div>\n <\/div>\n \n <\/div>\n <\/div>\n<\/div>\n\n\n\n

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TYPES OF GENERATIVE AI<\/h2><\/div>\n \n
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Large Language Models (LLMs)<\/h2>\n\n\n\n

LLMs are a specific type of generative AI that focus on understanding and generating human-like text. They are trained on huge amounts of text data (books, articles, websites) and learn patterns, grammar, and logic. Once trained, they can write emails, summarize text, answer questions, code, or even have conversations.<\/p>\n\n\n\n

EXAMPLES<\/h5>\n\n\n\n
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\"Gemini\"<\/figure>\n<\/div>\n\n\n\n
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\"ChatGPT\"<\/figure>\n<\/div>\n\n\n\n
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\"LLoMA\"<\/figure>\n<\/div>\n\n\n\n
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\"Claude\"<\/figure>\n<\/div>\n<\/div>\n\n <\/div>\n<\/div>\n<\/div>\n\n\n\n
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Generative Media Models<\/h2>\n\n\n\n

Generative media AI models are artificial intelligence systems designed to create or synthesize non-text media content such as images, audio, video, and 3D assets. These models rely on deep learning techniques\u2014like Generative Adversarial Networks (GANs), diffusion models and transformer based models\u2014to generate new, realistic content from prompts or input parameters.<\/p>\n\n\n\n

EXAMPLES<\/h5>\n\n\n\n
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\"DALL-E\"<\/figure>\n<\/div>\n\n\n\n
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\"Genstudio\"<\/figure>\n<\/div>\n\n\n\n
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Instead of just analyzing or classifying information, GenAI can create something entirely new. While AI can enhance productivity, responsible and ethical use is essential to maintain academic integrity, data security, and institutional standards.<\/p>\n\n\n <\/div>\n <\/div>\n<\/div>\n\n\n\n

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BEST PRACTICES <\/h2>\n \n
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What are the best practices in generative AI use?<\/h3>\n\n\n\n

If your organization wants to implement generative AI solutions, consider the following best practices to enhance your efforts.<\/p>\n<\/div>\n\n\n\n

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