Interview Process Structure
- Assessment Test
- Format: Easy-level LeetCode-style questions (typically 2).
- Environment: Virtually proctored through webcam.
- Difficulty: Mostly straightforward coding problems.
- Main Rounds
Round 1: Coding Interview
Interview Process Structure
Round 1: Coding Interview
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| def fine_labels(): | |
| fine_labels = [ | |
| 'apple', # id 0 | |
| 'aquarium_fish', | |
| 'baby', | |
| 'bear', | |
| 'beaver', | |
| 'bed', | |
| 'bee', | |
| 'beetle', |
| # ======================================================================================================================== | |
| import openai | |
| openai.api_key = | |
| # ======================================================================================================================== | |
| # >>> len(a[31:60]), len(a[60:]) | |
| # (29, 40) | |
| import os | |
| from tqdm import tqdm, trange |
| import torchvision | |
| model_conv = torchvision.models.resnet18(pretrained=True) | |
| for name, param in model_conv.named_parameters(): | |
| if not("fc" in name): | |
| param.requires_grad = False | |
| print(name, param.requires_grad) |
| # From Polyfjord - https://youtu.be/Q9IRHmfGDrU?t=17 | |
| names = ["gold", | |
| "chilli_pepper", | |
| "crystal_blue", | |
| "aquamarine", | |
| "army_green", | |
| "neon_yellow", | |
| "caramel", | |
| "pumpkin_orange", |
| import pprint as pp | |
| fine_labels = [ | |
| 'apple', # id 0 | |
| 'aquarium_fish', | |
| 'baby', | |
| 'bear', | |
| 'beaver', | |
| 'bed', | |
| 'bee', |
gpustat --watch to find the usage), PLEASE DONT RUN ON IT. This will crash the other person's runs.