Interview Stages

Round 1: Case Study

• Process: A complete Kaggle-like workflow on a Notebook.
• Topics/Problem: LLM-related task. The main framework was provided, and I had to implement tokenizer, word to token, and token to word. Finally, I wrote an optimizer and loss function for training.
• Focus/Signals: The goal was to ensure the loss decreased over time.