AI Engineers Interview vs Job
AI Engineers The Interview The Job Output Probabilities Softmax Linear Add & Norm Feed Forward Add & Norm Multi-Head Attention Add & Norm Masked Multi-Head Attention N× Positional Encoding Input Embedding Inputs Positional Encoding Output Embedding Outputs (shifted right) import transformers
A two-panel comparison shows an AI engineer interview involving a detailed Transformer architecture diagram, while the actual job is simply importing the transformers library. The joke mocks how highly technical machine-learning interviews can contrast with the practical simplicity of using an existing library.
Transformer architecture diagram / схема архитектуры TransformerAI engineer interview / собеседование AI-инженераcode snippet / фрагмент кодаcomputer science diagram / диаграмма информатикиneural network blocks / блоки нейронной сетиinput embedding / входное встраиваниеoutput embedding / выходное встраиваниеsoftmax layer / слой softmaxlinear layer / линейный слойfeed-forward network / сеть прямого распространенияmulti-head attention / многоголовое вниманиеmasked multi-head attention / маскированное многоголовое вниманиеpositional encoding / позиционное кодированиеflow arrows / стрелки потокаwhite background / белый фон
- @profunctor_io / 10337 2024-08-27
- Type
- image
- Size
- 800×762 · 47.4 KiB
- Mood
- sarcastic, absurd
- Language
- en
- Added
