OpenAI Interview Questions

Tim W. - "Clarify "What do you mean by favorite product? Are you thinking specifically hardware, software, or a feature within those, or something non-electronic? Dealer's Choice. "Are you asking why I love this product, or to explain why this product is a market leader independent of how i feel about it? Talk about why YOU love this product. Rephrase Question With all that in mind, i want to rephrase the question. "What is your favorite software product and what features in this product"See full answer

Sreenisha S. - "Let me tell you about a time where a website I managed suddenly showed slow performance and the mistake on our side was it was unnoticed until a user reported the issue to management. As a PM for that project, I took full responsibility of the situation and worked with the engineering team to quickly resolve it. This mistake taught me the importance of focusing and monitoring non functional requirements as well in addition to new feature development /adoption where I was mostly spending my time"See full answer

Aabid S. - "I work at a startup that makes software for Law Enforcement and the FBI. Our product analyzes calls being made by prison inmates and "listens" for predictors of violence and criminal behavior. Our clients are some of the top state prisons in the country. Recently one of the largest states in the country decided to evaluate our product for their prison system. I demo'd the product to the officers and they seemed to like everything. During the presentation they asked us if the product was ADA com"See full answer

Malay K. - "For any project based questions, it is important to structure your response clearly, showcasing your thought process, technical skills, problem-solving abilities, and how your work added value. Besides the STAR method, you can also use this kind of framework: 1. Start by selecting a relevant project (related to the role) Give the project background and what specific problem it solved. 2. Align the project's objective and your role Be specific about your role: were you the le"See full answer

Shraddha D. - "I like chatgpt for the following users Getting industry references are easy and time saving Getting recommendations is very easy Responses are accurate I use chatgpt to get feedback on content and identify gaps in my documentation or thought process I use chatgpt as a search engine and to get conscise situation based information. Chatgpt offers varierty of other tools in the explore version where similar users can create different content PRD template Chatgpt users 1."See full answer

Robert H. - "The addition of an intermediate "sanitization" ML is something Neeraj used in the Uber Eats design and again seems kind of outside the scope here and redundant. This can simply be built into the AI response model to save a step. It's not clear what benefit this step provides, and he basically said we should have it "just because it would be good" and there's no concrete reasoning why to include it. Adding a Kafka queue to handle the thumbs-down ratings? For what purpose do you need a queue othe"See full answer

Ross B. - "I most want to communicate a few principals of conflict resolution that I believe were integral in this situation, which are mutual respect, a results orientation, an unwavering focus on the user. To that end, here’s how I’d like to structure this answer: First, I’ll tell you about the project we were working on, to provide some background for you. Second, I’ll describe the disagreement. Third, I’ll describe how we arrived at a solution, and finally, I’ll discuss how those 3 conflict resolu"See full answer

Pramod V. - "Referring to https://www.forbes.com/sites/forbesbusinesscouncil/2022/03/23/15-strategies-for-balancing-competing-stakeholder-priorities/?sh=7c82aa68262f Understand the conflicting priorities and align it with the goal/ objectives and the company mission. Start with the Least Common Denominator between the conflicting priorities to come to a commonality and start from there to objectively approach the next imp priority Always keep communication on and be transparent with 'equality' an"See full answer

Darpan D. - "Clarifying questions and Assumptions ChatGPT search means the search function inside the chat app? OR ChatGPT search Chrome extension? Assumption: Search inside the chat app. Is there any location restriction in this analysis? Assumption: USA only. Is there any user segment restriction in this analysis? Assumption: All user segments. Are we assuming the ChatGPT search already exists or going back in time before the ChatGPT search existed? Assumption: Go back in time"See full answer

Manoj K. - "I fumbled but my answer was along these lines Clarification: Are we talking about ChatGPT page or other ways to use it like API Ans: page When you say improve did you mean usage or monetization Ans: you pick We should pick user experience and usage since better product will enable easier monetization. Assume they monetize based on premium users subscription. Lets talk about users Business users Individual users Focus on business since traffic generated by individuals will not be as mu"See full answer

Jyoti V. - "Over-fitting of a model occurs when model fails to generalize to any new data and has high variance withing training data whereas in under fitting model isn't able to uncover the underlying pattern in the training data and high bias. Tree based model like decision tree and random forest are likely to overfit whereas linear models like linear regression and logistic regression tends to under fit. There are many reasons why a Random forest can overfits easily 1. Model has grown to its full depth a"See full answer

Constantin P. - "Of course. Reinforcement Learning is a type of machine learning where an agent learns to make decisions by trying out different actions and receiving rewards or penalties in return. The goal is to learn, over time, which actions yield the highest rewards. There are three core components in RL: The agent — the learner or decision-maker (e.g., an algorithm or robot), The environment — everything the agent interacts with, Actions and rewards — the agent takes actions, and the"See full answer

Surbhi G. - "Deep Learning is a part of Artificial Intelligence, it's like teaching the machine to think and make decisions on its own. It's like how we teach a child the concept of an apple - it's round, red, has a stem on top. We show them multiple pictures of apples and then they understand and can recognize an apple in future. Similarly, we feed lots of data to the machine, and slowly, it starts learning from that data, and can then make relevant predictions or decisions based on what it has learnt. A co"See full answer