It's been a grey and rainy week, and as you may already have gathered from yesterday's post, I've not been in my most inspired mood.
Before I asked Bing AI for illustrations of "tired and uninspired" yesterday (the results of which actually cheered me up!), I had made some attempts to explore another AI image generator: Craiyon. It did not impress me, though. I only downloaded a very few examples:
Today, it occurred to me to ask Microsoft's new Copilot the question from my post yesterday: "Why can't AI spell?" In my first attempt I'm afraid I phrased the question a bit too personal...
Me: Why can't Bing Image Creator spell?
Copilot: I apologize if there was any inconvenience caused. As an AI language model, I don’t have direct control over the Bing Image Creator, but I appreciate your feedback. If you have any other questions or need assistance, feel free to ask! 😊
Oops, in spite of the smiley, someone seems to have taken offence... Better rephrase!
Me: Why can't AI image creators manage spelling?
Copilot: AI image creators, like any other technology, have their limitations. While they excel in certain areas, they may struggle with others. Here are a few reasons why spelling errors might occur in AI-generated images:
Training Data: AI models learn from vast amounts of data, including text. However, if the training data contains spelling mistakes or inconsistencies, the AI might inadvertently reproduce those errors.
Context and Ambiguity: Spelling correctness often depends on context. AI image creators lack the understanding that humans have, which can lead to misinterpretations. For example, the word “lead” can refer to both a metal and a verb, leading to different spellings (“lead” vs. “led”).
Noise and Noise Tolerance: AI models are sensitive to noise (irrelevant information). If an image contains noise (such as artifacts or distortions), it might affect the generated text, including spelling.
Complexity of Language: Spelling involves intricate rules, exceptions, and regional variations. AI models may not always capture these nuances accurately.
Trade-offs: AI creators balance various factors, such as fluency, coherence, and relevance. Sometimes, spelling correctness takes a back seat to other priorities.
Feedback Loop: AI models improve over time with feedback. If users report spelling errors, developers can fine-tune the model to enhance accuracy.
In summary, while AI image creators have made significant strides, they are still evolving. As users, we can provide feedback to help improve their performance. 🤖📝
Excuses, excuses... (LOL)
