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2103 Curated Machine Learning, Data Science, Python & LLMs Interview Questions
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Top 25 LLMOps Interview Questions

Entry Junior Mid Senior Expert
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LLMOps Theoretical Questions
Q1:   

What are some common techniques used in LLMOps?

  
Add to PDF   Junior 
Q2:   

What are some benefits of compression in a Large Language Model?

  
Add to PDF   Junior 
Q3:   

How can bias be mitigated with human-in-the-loop approaches when developing LLMs?

  Related To: LLMs, Bias & Variance
Add to PDF   Junior 
Q4:   

Name some model Compression Techniques for Large Language Models

  
Add to PDF   Junior 
Q5:   

How can you avoid Hallucinations when developing an LLM?

  Related To: LLMs
 Add to PDF   Mid 
Q6:   

What are some methods to train Large Language Models on many GPUs?

  
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Q7:   

What are some common techniques for optimizing LLMs output?

  Related To: LLMs
 Add to PDF   Mid 
Q8:   

What is the role of an LLM observability system in the LLMOps workflow? What kind of data can be managed here?

  Related To: LLMs
 Add to PDF   Mid 
Q9:   

How can you use Attention Layers for the explainability of the Large Language Model?

  Related To: LLMs
 Add to PDF   Mid 
Q10:   

What kind of tools can you use when debugging an LLM in production?

  
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Q11:   

What are the main challenges you could face when developing LLMs for Production?

  Related To: LLMs
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Q12:   

What methods to perform Feature Engineering from text data do you know?

  Related To: NLP, Feature Engineering
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Q13:   

How Vector Databases can be useful in LLMOps?

  
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Q14:   

What are some common practices for Preprocessing data for LLMs?

  Related To: LLMs, Data Processing
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Q15:   

What are some approaches that can be used for monitoring LLMs?

  Related To: Model Evaluation, LLMs
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Q16:   

What is Data Drift and how can you detect it in LLMs?

  Related To: LLMs
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Q17:   

What's the importance and the difference of monitoring Generative models with Reference Text vs without Reference Text?

  Related To: NLP, LLMs
 Add to PDF   Senior 
Q18:   

When developing an LLM-based product, which approaches you'd take to deal with Latency issues?

  
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Q19:   

What are the tradeoffs between using custom and commercial LMMs in production?

  
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Q20:   

How Does Adversarial De-biasing Work?

  Related To: LLMs, Bias & Variance
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Q21:   

What approach can you take when building LLM-based applications consisting of multiple tasks?

  
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Q22:   

What approaches can you take when scaling large language models?

  
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Q23:   

How can you evaluate LLMs using other LLMs?

  Related To: Model Evaluation, LLMs
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Q24:   

What are some changes for Inference Optimization in LLMs and what approaches can you take to deal with it?

  
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Q25:   

What are some common stages during a CI/CD pipeline for LLMOps?

  
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Top 30 AWS Machine Learning Interview Questions  AWS Machine Learning  30  

Amazone runs the internet as we know it. Amazon Web Services (AWS) offers a comprehensive suite of machine learning (ML) services that cater to various needs and expertise levels. Follow along and learn the 23 most common AWS machine-learning intervi...

Top 30 Azure ML Interview Questions  Azure ML  30  

Azure Machine Learning (Azure ML) is a cloud-based service for creating and managing machine learning solutions. It’s designed to scale, distribute, and deploy machine learning models to the cloud. Follow along and learn the 23 most common Azure Mach...

Top 32 Hadoop Interview Questions  Hadoop  32  

Hadoop is an open-source big data processing framework. It leverages distributed computing to store and process large datasets in a fault-tolerant manner. According to recent reports, Apache Hadoop is one of the most sought-after big data skills with...

23 Apache Spark Interview Questions (ANSWERED) To Learn Before ML & Big Data Interview
Apache Spark is a unified analytics engine for large-scale data processing. It is built to handle various use cases in big data analytics, including data processing, machine learning, and graph processing. Follow along and learn the 23 most common an...
Top 30 Apache Spark Interview Questions  Apache Spark  30  
23 Scala Interview Questions (ANSWERED) For Your Next Data Science Interview
Scala is a powerful language with functional programming capabilities that can be a good choice for data science, especially in big data and distributed computing scenarios. As an example, Apache Spark, a popular distributed data processing framework...
Top 39 Scala Interview Questions  Scala  39  
30 PyTorch Interview Questions (ANSWERED) To Beat Your Next Machine Learning Interview
PyTorch popularity as a Deep Learning framework of choice is on the rise. As of December 2022, 62% of the academic papers were implemented in PyTorch whereas only 4% were for TensorFlow. Follow along and prepare effectively with these key 30 PyTorch ...
Top 36 PyTorch Interview Questions  PyTorch  36  
23 Common Artificial Intelligence Interview Questions (SOLVED) For Your Next ML & DS Interview
The use of Artificial Intelligence (AI) in machine learning and data science enabled advancements in areas such as natural language processing, computer vision, recommendation systems, fraud detection, predictive analytics, and personalized medicine....
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21 Data Science Optimisation Algorithms Interview Questions (ANSWERED)
Optimization algorithms are extensively used in training machine learning models. Data engineers employ algorithms like gradient descent, stochastic gradient descent, and variants (e.g., Adam, RMSprop) to optimize the model parameters and minimize th...
Top 33 Optimisation Interview Questions  Optimisation  33  
27 ChatGPT Interview Questions (ANSWERED) For ML and Prompt Engineers
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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27 Large Language Models (LLMs) Interview Questions (ANSWERED) For your Next ML and GPT Interview
Large Language Models (LLMs), such as GPT-3.5, have revolutionized natural language processing by demonstrating the ability to generate human-like text and comprehend context. Follow along to understand the top 27 LLMs-related interview questions and...
Top 42 ChatGPT Interview Questions  ChatGPT  42  
Top 59 LLMs Interview Questions  LLMs  59  

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