After a year of dedicated effort writing about interview challenges for machine learning, we are thrilled to unveil “Machine Learning Interview — Practice Questions from Experts” eBook! This eBook is a summary of our journey together so far, where we have curated and distilled the wealth of knowledge gained from…

There are a lot of explanations elsewhere, here I’d like to share some example questions in an interview setting. Can you explain how does the attention mechanism work for Time Series tasks? Here are some tips for readers’ reference: We’ve previously covered some aspects about the Attention mechanism in this…

Stable Diffusion has significantly simplified the process of text-to-image generation, achieving impressive results. However, text-to-video generation has yet to reach the same level of advancement. In a recent paper titled “Sketching the Future (STF): Applying Conditional Control Techniques to Text-to-Video Models”, AI researchers from Carnegie Mellon University presented an innovative…

There are a lot of explanations elsewhere, here I’d like to share some example questions in an interview setting. For a 32 by 32 by 3 input image, if we were to use 10 convolution filter size 5 by 5 and stride 1, what is the output activation map volume…

In today’s “LLM-driven” world, privacy has become one of the biggest challenges faced by enterprise users, especially when it comes to utilizing language models like ChatGPT. What are solutions here? The entrepreneurial community is enthusiastically embracing a blossoming market of alternative solutions actively developed and researched by the open-source community…

There are a lot of explanations elsewhere, here I’d like to share some example questions in an interview setting. What’s the difference between ML in research vs. ML in production? Here are some tips for readers’ reference: This is an open-ended question. An alternative question in an interview can be…

The llama in the pajama picture is just too cute not to use. What is RedPajama? Redpajama is a project that recreated the LLaMA training dataset of over 1.2 trillion tokens. More importantly, they are making the dataset open. Even more, they aim to create a set of leading, fully open-source models. The…

There are a lot of explanations elsewhere, here I’d like to share some example questions in an interview setting. How to annotate your data for your NLP pipeline? Here are some tips for readers’ reference: Annotating data is an important step in creating a Natural Language Processing (NLP) pipeline. It…

Time for another myth buster about resumes! In our previous sessions, we discussed how to make a good first impression and how to tailor your resume to the specific roles you’re applying for. Today, we’ll dive deeper into the content of your resume and focus on two important elements: Creation…