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Top 50 ChatGPT Interview Questions

Entry Junior Mid Senior Expert
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ChatGPT Theoretical Questions
Q1:   

What are some limitations or challenges with using ChatGPT?

  
Add to PDF   Entry 
Q2:   

What kind of tokenisation techniques in LLMs do you know?

  Related To: LLMs
Add to PDF   Junior 
Q3:   

What's the difference between GPT-3.5, ChatGPT and GPT-4?

  
Add to PDF   Junior 
Q4:   

How can you evaluate the performance of Language Models?

  Related To: Model Evaluation, NLP, LLMs
Add to PDF   Junior 
Q5:   

Can you provide a high-level overview of the training process of ChatGPT?

  
Add to PDF   Junior 
Q6:   

What is a token in the Large Language Models context?

  Related To: LLMs
Add to PDF   Junior 
Q7:   

How LLMs are pre-trained?

  Related To: LLMs
Add to PDF   Junior 
Q8:   

Why Prompt Engineering is important for ChatGPT?

  
Add to PDF   Junior 
Q9:   

What types of prompts can you use in Large Language Models?

  Related To: LLMs
Add to PDF   Junior 
Q10:   

How do generative language models work?

  Related To: LLMs
Add to PDF   Junior 
Q11:   

How next sentence prediction (NSP) is used in language modeling?

  Related To: LLMs
Add to PDF   Junior 
Q12:   

What's the difference between next-token-prediction vs masked-language-modeling in LLM?

  Related To: LLMs
 Add to PDF   Mid 
Q13:   

Describe some approaches that can be used to mitigate biases in ChatGPT's responses

  Related To: Bias & Variance
 Add to PDF   Mid 
Q14:   

What's the meaning of the role user, assistant and system in ChatGPT API?

  
 Add to PDF   Mid 
Q15:   

Can you provide some examples of alignment problems in Large Language Models?

  Related To: LLMs
 Add to PDF   Mid 
Q16:   

What are the trade-offs of using next-token-prediction and masked-language-modeling training techniques?

  Related To: LLMs
 Add to PDF   Mid 
Q17:   

How ChatML can improve ChatGPT?

  
 Add to PDF   Mid 
Q18:   

How does ChatGPT retain the context of previous questions?

  
 Add to PDF   Mid 
Q19:   

How does ChatGPT understand context?

  Related To: NLP, LLMs
 Add to PDF   Mid 
Q20:   

Name some building blocks of ChatGPT

  
 Add to PDF   Mid 
Q21:   

What's the difference between Standard Prompting vs Chain-of-Thought (CoT) prompting in ChatGPT?

  
 Add to PDF   Mid 
Q22:   

What should you do if you want GPT-4 to answer questions about unfamiliar topics? E.g., events after Sep 2021?

  
 Add to PDF   Mid 
Q23:   

How token limit can impact the conversation with ChatGPT, and how would you address it?

  
 Add to PDF   Mid 
Q24:   

Could you name some applications of the transformer network?

  Related To: NLP, LLMs
 Add to PDF   Mid 
Q25:   

What's the difference between GPT vs BERT vs T5?

  Related To: NLP, LLMs
 Add to PDF   Mid 
Q26:   

How Adaptative Softmax is useful in Large Language Models?

  Related To: LLMs
 Add to PDF   Mid 
Q27:   

What's the difference between Wordpiece vs BPE?

  Related To: LLMs
 Add to PDF   Mid 
Q28:   

When working with chat completion in OpenAI API, what kind of problems can you have in the code?

  
 Add to PDF   Mid 
Q29:   

How embeddings are used in ChatGPT models?

  
 Add to PDF   Mid 
Q30:   

Explain what is the Encoder-Decoder architecture?

  
 Add to PDF   Mid 
Q31:   

Does ChatGPT use an encoder-decoder architecture, or a decoder-only architecture?

  
 Add to PDF   Mid 
Q32:   

What is Transfer Learning and why is it important?

  
 Add to PDF   Mid 
Q33:   

How can you improve reliability on complex tasks for ChatGPT models?

  
 Add to PDF   Mid 
Q34:   

What is Few-Shot prompting?

  
 Add to PDF   Mid 
Q35:   

Why is there a token limit in ChatGPT? How to work around the limit?

  
 Add to PDF   Mid 
Q36:   

What's the difference between model weights and model input in ChatGPT?

  
 Add to PDF   Mid 
Q37:   

Explain why to fine-tune the GPT model?

  
 Add to PDF   Mid 
Q38:   

Is there a way to train a Large Language Model (LLM) to store a specific context?

  Related To: LLMs
 Add to PDF   Mid 
Q39:   

Can you provide a high-level overview of some techniques you would use for unit testing with ChatGPT?

  
 Add to PDF   Mid 
Q40:   

What's the difference between temperature and top_n in ChatGPT API?

  
 Add to PDF   Senior 
Q41:   

Does ChatGPT remember past history even if the prompt only has the current input?

  
 Add to PDF   Senior 
Q42:   

What are some downsides of fine-tuning LLMs?

  Related To: LLMs
 Add to PDF   Senior 
Q43:   

In which cases would you fine-tune a ChatGPT model?

  
 Add to PDF   Senior 
Q44:   

How does an AI like ChatGPT answer a question in a subject which it may not know?

  
 Add to PDF   Senior 
Q45:   

How does an LLM parameter relate to a weight in a Neural Network?

  Related To: LLMs, Neural Networks
 Add to PDF   Senior 
Q46:   

What exactly are the parameters in "GPT-3's 175 billion parameters"?

  Related To: Neural Networks
 Add to PDF   Senior 
Q47:   

Does GPT fine-tuning require retraining the entire model?

  
 Add to PDF   Senior 
Q48:   

Explain what is Self-Attention mechanism in the Transformer architecture?

  
 Add to PDF   Senior 
Q49:   

Can you explain the concept of reinforcement learning in the context of language models? How does it apply to ChatGPT?

  Related To: LLMs, Reinforcement Learning
 Add to PDF   Senior 
Q50:   

What is the temperature in the GPT models?

  
 Add to PDF   Expert 
 
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ChatGPT, an implementation of the GPT (Generative Pre-trained Transformer) model excels in understanding and generating human-like text, making it a powerful tool for NLP tasks. ML engineers and software developers can leverage ChatGPT's capabilities...
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