This LibGuide is for students attending DeVry University to learn about AI/ChatGPT. This is an introduction to using and citing Language Learning Models while attending the university.
If you have any questions on AI or ChatGPT, email firstname.lastname@example.org.
ChatGPT is a state-of-the-art natural language processing model developed by OpenAI. The model is based on the transformer architecture and is trained on a massive amount of data to generate human-like text.
The model can also perform a variety of natural language processing tasks, such as answering questions, generating summaries, and translating text. Additionally, the model can be fine-tuned on specific tasks or domains, allowing it to generate text that is specific to a particular subject or industry Human-like text.
Limited understanding of context: ChatGPT can generate coherent and fluent responses, but it may not always fully understand the context or intent of the user's input.
Lack of common sense: ChatGPT has been trained on a vast amount of text data, but it lacks the ability to understand and apply common sense knowledge to a given situation.
Bias in the training data: ChatGPT has been trained on a large dataset of text from the internet, which may contain biases. This can lead to the model reproducing and amplifying those biases in its responses.
Lack of accountability: ChatGPT is a machine learning model and not a human, so it can make mistakes or generate inappropriate or offensive responses. There is no way to hold the model accountable for its actions.
Limited to text based interface: ChatGPT is a language model and its capabilities are limited to text-based interactions. It does not have the ability to understand or interpret non-textual inputs such as images or audio.