WHAT IS CHATGPT?
ChatGPT launched on Nov. 30 but is part of a broader set of technologies developed by the San Francisco-based startup OpenAI, which has a close relationship with Microsoft.
It’s part of a new generation of AI systems that can converse, generate readable text on demand and even produce novel images and video based on what they’ve learned from a vast database of digital books, online writings and other media.
But unlike previous iterations of so-called “large language models,” such as OpenAI’s GPT-3, launched in 2020, the ChatGPT tool is available for free to anyone with an internet connection and designed to be more user-friendly. It works like a written dialogue between the AI system and the person asking it questions.
Millions of people have played with it over the past month, using it to write silly poems or songs, to try to trick it into making mistakes, or for more practical purposes such as helping compose an email. All of those queries are also helping it get smarter.
WHAT ARE THE PITFALLS ?
GPT (short for “Generative Pre-training Transformer”) and GPT-C (short for “Continuous GPT”) are large language models developed by OpenAI. These models are trained to generate human-like text and can be fine-tuned for a variety of language tasks such as translation, summarization, and question answering.
One potential pitfall of using these models is that they are designed to generate human-like text, which can sometimes be difficult to distinguish from text written by a human. This can be a concern when the output of the model is being used for tasks such as machine translation, where the quality of the output is critical.
Another potential pitfall is that these models are very large and require a significant amount of computing resources to run. This can make it difficult to use them for certain applications, particularly in resource-constrained environments.
Finally, like any machine learning model, GPT and GPT-C are only as good as the data they are trained on. If the training data is biased or contains errors, the models may produce biased or inaccurate output. It is important to carefully evaluate the quality of the training data and take steps to mitigate potential biases when using these models.
CAN IT BE USED FOR WRITING SCHOOL PAPERS?
GPT (Generative Pre-training Transformer) and GPT-C (Continuous GPT) are large language models developed by OpenAI that can be used to generate human-like text. These models have been trained on a wide range of texts, including academic papers and other written materials, and are able to generate text that is coherent and flows naturally.
While GPT and GPT-C could potentially be used to generate text for a school paper, it is important to note that these models are not a replacement for careful research, critical thinking, and original writing. It is expected that students will do their own research and writing when completing a school paper, and it would not be appropriate to simply use the output of a language model as the final product.
Instead, GPT and GPT-C could be used as a tool to help with certain aspects of the writing process, such as generating ideas, suggesting ways to organize the paper, or providing examples of how to structure certain types of arguments. However, it is ultimately the responsibility of the student to do the necessary research, form their own ideas and arguments, and write the final paper themselves.