This post is about prepping for interviews for Data Science roles. The original post can be found here. Welcome to today’s data science interview challenge! Today’s challenge is inspired by a Huggingface Transformer Lecture (2022 version) at Stanford! Relax! A warm up question 🤓: See if you can tell me…

Welcome to today’s data science interview challenge! Many of you are already experts in the area of data science and machine learning. And, THANK YOU, for sitting along with me reviewing some of the concepts. If you are new to the space, don’t worry, we are here to support you…

A few weeks ago, we explored the topic of influence and persuasion in the workplace. Today, I’ll further share my learning about “how to speak, how to speak effectively and how to speak like a leader”. By no means I consider myself done with learning and improving in this area…

I’ve recently had the opportunity to reorganize the essential takeaways regarding CI/CD for MLOps, drawing from valuable insights shared by my friend Hamel Husain in his recent course and blog post. Today, I’m excited to pass on these insights to you. I hope this information proves helpful, particularly for data…

For those of you who have worked with text data, you’re likely aware of the critical role that data quality plays in effectively training an NLP model. However, ensuring data quality can be quite tricky. In my previous experience, I was involved in classifying the intent of customer emails before…

Welcome to today’s data science interview challenge! Today’s challenge is inspired by Natural Language Understanding (NLU) lecture given by Professor and Chair, Christopher Potts from Department of Linguistics at Stanford. Here it goes: Question 1: What is “in-context learning” in the context of Large Language Models (LLMs)? Question 2: Can…

By now, most AI practitioners are likely familiar with LangChain or have had some experience using it. But is there something new and even more promising on the horizon? Introducing Semantic Kernel Microsoft’s Semantic Kernel presents a concept quite akin to LangChain. It stands as a sophisticated Software Development Kit (SDK) that integrates…

There are a lot of explanations elsewhere, here I’d like to share some example questions and potential answers in an interview setting. Question 1: In the setting of LLM applications, how do you measure whether your new prompt is better than the old one? Question 2: Why does this matter? …

Part I: Commitment and Consistency Navigating influence and persuasion within the workplace is a substantial subject. We all recognize and acknowledge the necessity of influencing stakeholders. In addition to technical prowess, it stands as a pivotal factor for achieving success not only for us data scientists and machine learning engineers…