khaledbedda/fizzbuzz

LEMAY.AI INTERVIEW QUESTIONS

Hello, human.

Your goal is to demonstrate your coding skills by creating a video recording of your answers to some general knowledge questions, writing an ML API demo using Docker, python3, and a bit of magic, and showing us your exploratory data analysis skills. Please spend minimal effort on graphics and UI, as this is not a test of your UI coding skills. Just don't stress on frontend stuff.

1) GENERAL KNOWLEDGE VIDEO DEMONSTRATION

• Please make a video recording of your answers to the questions in the notebook: https://github.com/lemay-ai/fizzbuzz/blob/main/Interview_Questions.ipynb
• Please share the video file with [email protected] and [email protected]
• After you submit the video, proceed to steps 2 and 3, below.

2) MODEL DEPLOYMENT DEMONSTRATION

Please fork this repo (you may opt to share a private repo with us to preserve your privacy) and then do the following:

• Create a branch in your forked repo
• Create a container to process inference requests from any pretrained model in the huggingface model hub: https://huggingface.co/models
• Your solution should include server components to support multiple parallel incoming requests (e.g., NGINX/gunicorn)
• Create a notebook to demonstrate requests that POST to the container endpoint and print out the response
• Please explain why you have chosen this model as your demonstration

3) EXPLORATORY DATA ANALYSIS DEMONSTRATION

• Perform exploratory data analysis on any dataset in the huggingface datasets hub: https://huggingface.co/datasets

• Include a notebook that contains your analysis within the repository

• Please explain why you have chosen this dataset for your demonstration of exploratory data analysis

• Commit your code

• Create a pull request and you can approve it yourself and merge the branch into trunk

• Document the process for using your updated repo in README.md so that we can try out your demo ourselves

• Share the repo with the github users dcshapiro and elmathioso