“Generative AI refers to deep-learning models that can generate high-quality text, images, and other content based on the data they were trained on.”
Source: IBM
Large language models (LLMs) are essentially computer programs that are really good at understanding and using human language. They are a type of artificial intelligence (AI) that's been trained on massive amounts of text data.
Image content creation AI, also known as text-to-image AI, is a type of artificial intelligence that can generate images based on descriptions you provide.
Check out "You against the Machine: Can you spot which image was created by A.I.?" for a challenging quiz on Image Content Creation AI
Many AI models can only “scrub” freely available internet data. They can't navigate behind paywalls and access scholarly peer-reviewed journals or databases. So, we suggest using large language models similar to Wikipedia: as a beginning point for research.
Regarding Image Content Creation AI, like DALL-E and Midjourney, think about who has (and has had historically) the ability to contribute stock photos the most. This is why when you request Midjourney to craft an image of a librarian, the outcome often aligns with stereotypes–a portrayal of an older white woman with glasses and a bun sitting at a desk surrounded by books. It is essential to recognize that inherent biases are ingrained in AI-generated content.
For more on bias in AI, check our Ethical Concerns page.
ChatGPT (Chat Generative Pre-Trained Transformer) is an AI-powered chatbot developed by OpenAI. The model was trained on a vast pool of texts and data collected from the internet up until 2021. It uses natural language processing to respond to user-generated prompts.
What you need to know about ChatGPT
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