Useful resource for preparing for interviews for positions related to AI/ML.
Covers the basics:
- What is LLM and how it works
- Transformer architecture
- Tokenization and embeddings
- Self-attention mechanism
- Encoder vs Decoder (GPT, BERT, T5)
- Fine-tuning and prompt engineering
All questions with answers and code examples.
👨💻 Github: https://github.com/Devinterview-io/llms-interview-questions
