Generative AI refers to online tools that create new content, like text or images, using algorithms, data, and patterns. These tools aren’t search engines; they’re more like advanced chatbots. When given a prompt, the chatbot then tries to predict what should come next based on patterns it has learned. ChatGPT is a great example of text-based generative AI.
These tools use "large language models" to understand the input and generate relevant responses. For example, when ChatGPT answers a question, it looks at the words already given and predicts the next logical word or sentence. Because it processes language so quickly, it can sometimes appear as though the chatbot is intelligent.
AI technology is evolving fast. Generative tools help people combine information and create things like code, essays, art, or music. However, they can also "hallucinate," meaning they might make up facts and sources or show bias in their content.
Generative AI is evolving quickly, and it’s important to remember that the content it creates is based on predictions, which means it may not always be accurate, unbiased, up-to-date, or appropriate to claim as your own work.
Some drawbacks to using generative AI include:
Despite the drawbacks of generative AI, here are some things these tools can do well: