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Top 59 LLMs Interview Questions
Entry Junior Mid Senior Expert
LLMs Theoretical Questions
Q1:
Related To: ChatGPT, Model Evaluation, NLP
How can you evaluate the performance of Language Models?
Related To: ChatGPT, Model Evaluation, NLP Junior
Junior
Junior
Q4:
What's the Difference Between Self-Attention and Attention in the Transformer Architecture?
Junior
Q5:
Can you provide a high-level overview of Transformers' architecture?
Junior
Q6:
What's the advantage of using transformer-based vs LSTM-based architectures in NLP?
Junior
Junior
Q8:
Related To: LLMOps, Bias & Variance
How can bias be mitigated with human-in-the-loop approaches when developing LLMs?
Related To: LLMOps, Bias & Variance Junior
Q9:
What are the Key Benefits of Transfer Learning for LLMs?
Junior
Junior
Junior
Junior
Junior
Q15:
What's the difference between Global and Local Attention in LLMs?
Mid Mid Mid Q19:
What's the difference between Tokenization and Embeddings?
Mid Q20:
What do you mean by alignment in the context of attention mechanism?
Mid Q21:
What Transfer learning Techniques can you use in LLMs?
Mid Mid Q23:
Related To: Model Evaluation, LLMOps
What are some approaches that can be used for monitoring LLMs?
Related To: Model Evaluation, LLMOps Mid Q24:
Related To: LLMOps, Data Processing
What are some common practices for Preprocessing data for LLMs?
Related To: LLMOps, Data Processing Mid Q25:
Related To: LLMOps
What are the main challenges you could face when developing LLMs for Production?
Related To: LLMOps Mid Q26:
Related To: LLMOps
How can you use Attention Layers for the explainability of the Large Language Model?
Related To: LLMOps Mid Q27:
Related To: LLMOps
What is the role of an LLM observability system in the LLMOps workflow? What kind of data can be managed here?
Related To: LLMOps Mid Mid Mid Q30:
Why a Multi-Head Attention mechanism is needed in a Transformer-based Architecture?
Mid Q31:
Related To: NLP, RNN, Neural Networks
Why would you use Encoder-Decoder RNNs vs plain sequence-to-sequence RNNs for automatic translation?
Related To: NLP, RNN, Neural Networks Mid Q32:
Related To: ChatGPT
Is there a way to train a Large Language Model (LLM) to store a specific context?
Related To: ChatGPT Mid Q33:
Related To: ChatGPT
What's the difference between next-token-prediction vs masked-language-modeling in LLM?
Related To: ChatGPT Mid Q34:
Related To: ChatGPT
Can you provide some examples of alignment problems in Large Language Models?
Related To: ChatGPT Mid Q35:
Related To: ChatGPT
What are the trade-offs of using next-token-prediction and masked-language-modeling training techniques?
Related To: ChatGPT Mid Mid Q38:
What's the difference between Encoder vs Decoder models?
Mid Q39:
In a transformer, can the same word have different attention weights in different sentences?
Mid Q41:
What can go wrong when fine-tuning BERT?
Mid Q42:
How does BERT training work?
Mid Q43:
Related To: ChatGPT, Reinforcement Learning
Can you explain the concept of reinforcement learning in the context of language models? How does it apply to ChatGPT?
Related To: ChatGPT, Reinforcement Learning Senior Q44:
What's the difference between token embeddings and segment embeddings and why are they needed?
Senior Q45:
Can you name some methods to reduce Toxicity Generation in Large Language Models?
Senior Q46:
Related To: Neural Networks
How can Saliency Methods improve explainability in Large Language Models?
Related To: Neural Networks Senior Q47:
What’s the difference between Feature-based Transfer Learning vs. Fine Tuning in LLMs?
Senior Senior Q49:
Related To: ChatGPT, Neural Networks
How does an LLM parameter relate to a weight in a Neural Network?
Related To: ChatGPT, Neural Networks Senior Senior Q51:
Can you explain how does the attention mechanism work for Time Series tasks?
Senior Q53:
Transformer models are expensive, what are ways to shrink them?
Senior Senior Q55:
What is the difference between Word Embedding, Position Embedding and Positional Encoding in BERT?
Senior Q56:
How does Transfer Learning work in LLMs?
Senior Q57:
Why do transformers need Positional Encodings?
Senior Q58:
Can you provide an example of how Byte-Pair Encoding (BPE) tokenisation works?
Expert Q59:
What's the difference between Monotonic alignment and Predictive alignment in transformers?
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