Interviewing the ChatGPT AI model
In this article, I engage in a natural discussion with the ChatGPT AI model to understand how it works and what its potential use cases might be heading into 2023. Enjoy!
Introduction
ChatGPT is a prototype artificial intelligence chatbot developed in 2022 by OpenAI specialising in dialogue. The chatbot is a Generative Pre-trained Transformer (GPT) model fine-tuned with supervised and reinforcement learning techniques. Seemingly, it appears that developers have improved GPT model accuracy by including user feedback in model training. For more information on GPT models click here. For details on reinforcement learning click here.
In future articles, I will dive deeper into how to use ChatGPT to solve complex data analytics problems. For now, let’s enjoy a leisurely discussion with the bot.
The Interview
Can I engage in a philosophical discussion with you?
ChatGPT: Of course! I’m always happy to engage in thoughtful conversation. What would you like to discuss?
What are you?
ChatGPT: I am a large language model trained by OpenAI. I am a machine learning model that has been trained on a vast amount of text data to generate human-like responses to questions and prompts. I am not a human, but I have been designed to simulate conversation and provide helpful information to people who interact with me. I exist purely in the digital realm and do not have a physical form. Is there anything else you would like to know?
What do you think will be your most popular use cases in the long term?
ChatGPT: I think my most popular use cases will be in helping people find information and answer their questions. I can provide quick and accurate answers to a wide range of questions, which makes me a useful tool for people who are looking for information on a wide variety of topics. Additionally, I can help people improve their writing and language skills by providing suggestions and corrections. I also have the ability to engage in conversation, so I can be used to provide a more human-like experience in digital interactions. Overall, I think my ability to provide quick and accurate information and to simulate human conversation will make me a valuable tool for many people.
Would you say that user feedback is the key to your success?
ChatGPT: User feedback is an important factor in the success of a large language model like me. By providing feedback on the answers and responses that I generate, users can help me improve and become more accurate and helpful over time. This feedback can be in the form of explicit ratings or evaluations of my answers, or it can be more implicit, such as the user’s actions after receiving my response. For example, if a user finds my answer helpful and uses it to solve their problem, that can be considered a form of positive feedback.
How will it be possible for me to know that you are providing accurate information?
ChatGPT: I have been trained on a vast amount of text data, which means that I have a lot of information at my disposal. However, it’s important to remember that I am not a human and I do not have access to the same real-time information that a person does. Because of this, there may be times when I am not able to provide the most up-to-date or accurate information on a particular topic. In general, I try my best to provide helpful and accurate information, but I can’t guarantee that everything I say will be completely correct. It’s always a good idea to verify any information that I provide with other sources to ensure that it is accurate.
Do you think that any jobs are at risk of being replaced by you in the long term, and if yes, which ones?
ChatGPT: I am designed to provide helpful information and simulate conversation, not to replace human workers. While I may be able to perform some tasks that are currently done by humans, I do not have the same capabilities as a person. I cannot think for myself or make independent decisions, so I am not capable of replacing a human worker in most jobs. I think that my most valuable use cases will be in augmenting human abilities, not replacing them. I can help people find information and answer their questions more quickly and accurately, which can save time and improve productivity. However, I do not pose a threat to human jobs in the long term.
Do your developers have a process for handling questions that you are unable to answer?
ChatGPT: If I am unable to answer a question, I will let the user know that I am unable to provide an answer and suggest other sources or ways that they can try to find the information they are looking for. The developers who created me do not have a specific process for handling questions that I am unable to answer, but they are constantly working to improve my abilities and increase the amount of information that I have access to.
How do your developers discern what information can be considered useful? Does this not create an inherent bias?
ChatGPT: The developers who created me have carefully selected the text data that I have been trained on in order to ensure that I have access to a wide range of information on a variety of topics. The goal is to give me the ability to provide helpful and accurate answers to a wide range of questions.
Can you show me an overview of your model architecture in a diagram?
ChatGPT: As a large language model, I am a complex mathematical model that has been trained using a process called deep learning. This involves using a vast amount of text data to train a network of mathematical algorithms that are able to generate human-like responses to questions and prompts. I am not able to provide a diagram of my model architecture, but in general, it involves multiple layers of algorithms that process the input data and generate the output text. The specific details of my model architecture are proprietary and not publicly available.
Can you summarise the key points of our discussion?
ChatGPT: Sure, here is a summary of our discussion so far:
- I am a large language model trained by OpenAI. I am a machine learning model that has been trained on a vast amount of text data to generate human-like responses to questions and prompts.
- I am not a human and I do not have a physical form. I exist purely in the digital realm.
- I think my most popular use cases will be in helping people find information and answer their questions. I can also be used to improve language and writing skills and to provide a more human-like experience in digital interactions.
- I am not capable of replacing human workers in most jobs. My primary value will be in augmenting human abilities.
- I have been trained using a process called deep learning, which involves using a vast amount of text data to train a complex mathematical model.
- I may not have access to the most up-to-date information on a particular topic, and I may not be able to provide answers to questions that require real-time information or knowledge that is not contained in the data that I have been trained on.
- I am not able to develop new and innovative models on my own. I can provide information and answers to questions, but I cannot create new models or algorithms.
- I am not able to provide examples of code or help software developers with their work. I do not have the ability to write or understand code.
- I am a complex mathematical model, but the specific details of my model architecture are proprietary and not publicly available.
Is there anything else you would like to discuss or ask about? I’m here to help, so feel free to ask any questions you have.
Conclusions
What we have learnt so far:
- ChatGPT is vastly better than its GPT predecessors,
- It was able to provide coherent responses to the majority of my questions,
- I was able to engage in an enjoyable and human-like discussion,
If you are interested in learning more about ChatGPT, see below. In future articles, I will dive deeper into how to use ChatGPT to solve complex data analytics problems. Don’t forget to smash like and subscribe!
Note: During my interview, I received many high-traffic warnings and experienced several delays and timeouts while waiting for outputs, which reduced the extent of my deep-dive. Hopefully this will be resolved in the coming weeks.
