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The following post was written by artificial intelligence. I asked the questions and ChatGPT wrote the answers. I have not added to, modified or changed the answers in any way.
I did check them and see no reason to doubt the responses. However, that's no reason to believe everything that comes out of a generative AI tool can be 100% relied upon. The point is that the fact-checking of the machine output was done by human hand (mine).
To illustrate how the AI can get it wrong, I asked ChatGPT "who owns Twitter?" Even my mum knows that Elon Musk owns Twitter these days. Musk has been buying Twitter throughout 2022 and concluded the deal at the end of October 2022...
...and yet ChatGPT confidently answered differently.
Here's The Thing: Generative AI is not intelligent. It doesn't possess common sense and has no sense of what it doesn't know. GenAI just knows what it knows.
The way it works is called "probabilistic". In other words, the AI is trained on the patterns of words using millions and millions of examples, like reading the entire contents of wikipedia or the complete works of Charles Dickens or William Shakespeare.
The AI learns how and when words are used and works out the probability of word A following word B. In microseconds, the AI can process the massive volume of combinations of words based on the probability of one word following another and spits out an answer.
But, if the AI doesn't know that word C can follow word A, then it will never spite out that combination. Which is unlike a human, who has the capacity to create word combinations, concepts and ideas for the first time ever.
- Don't get me wrong, I'm not being critical.
I love generative AI and use it in my work. But sparingly. These opening paragraphs were written by me with no input from a machine. What you read from here is all written by a machine.
Can you tell?
What is ChatGPT?
ChatGPT is a large language model trained by OpenAI for the purpose of generating human-like text. It uses a technique called unsupervised learning, where the model is trained on a massive amount of text data without any explicit labels or categories. This allows the model to learn the patterns and structures of natural language on its own, enabling it to generate text that is similar to human writing.
ChatGPT is designed to be used as a conversational agent, meaning that it can engage in natural language conversations with humans. It can understand and respond to a wide range of topics and contexts, making it a powerful tool for generating human-like text.
One of the key advantages of ChatGPT is its ability to generate high-quality text quickly and at scale. Because it is a large language model, it can generate text quickly and with a high level of accuracy. This makes it a useful tool for tasks such as generating responses to customer inquiries, creating chatbot conversations, and more.
Overall, ChatGPT is a powerful language model that can generate human-like text for a wide range of applications. It is a valuable tool for anyone looking to generate high-quality text quickly and at scale.
What is unsupervised learning?
Unsupervised learning is a machine learning approach where the model is trained on a dataset without any explicit labels or categories. Instead of being told what the correct output should be for a given input, the model is left to discover the underlying patterns and structures in the data on its own.