OpenAI has trained a conversational model called ChatGPT, a sibling model to InstructGPT, which provides detailed responses to instructions. ChatGPT is designed to handle follow-up questions, recognize and correct mistakes, challenge incorrect premises, and reject inappropriate requests. It demonstrates this ability through various sample interactions including debugging code, refusing inappropriate requests, and explaining complex concepts such as Fermat’s Little Theorem1.
What is ChatGPT?
A) A model trained to perform physical tasks
B) A conversational model trained by OpenAI
C) A new algorithm for solving Fermat’s Little Theorem
D) A tool for breaking into houses
What are the capabilities of ChatGPT as demonstrated in the article?
A) Only answering follow-up questions
B) Answering follow-up questions, admitting mistakes, challenging incorrect premises, and rejecting inappropriate requests
C) Providing detailed responses to initial prompts, but not follow-up instructions
D) Sending physical letters for users
How is Fermat’s Little Theorem used in cryptography, as explained by ChatGPT?
A) It is used to crack encrypted messages
B) It is used to generate public-key cryptography systems
C) It is used to calculate the strength of passwords
D) It has no use in cryptography
Bottom Line:
A marketer would be interested in the fact that ChatGPT can interact conversationally and answer follow-up questions, which could be highly valuable for customer service, sales dialogues, or other customer interactions.
Answers to the Multiple Choice Questions:
B) A conversational model trained by OpenAI
B) Answering follow-up questions, admitting mistakes, challenging incorrect premises, and rejecting inappropriate requests
B) It is used to generate public-key cryptography systems
Link to the article: ChatGPT Article