GenAI and LLM Engineering Interview Pack
Transformers, attention, tokenization, fine-tuning, RLHF and DPO, embeddings and decoding.
150 questions, each with why it is asked, a full answer, what the interviewer listens for, follow-ups, common mistakes and a diagram. By Roni Das.
About 20% junior, 35% mid, 30% senior and 15% staff.
Sections, from small ideas to big ones
- transformers and attention
- tokenization
- pretraining vs fine-tuning
- LoRA and QLoRA
- RLHF and DPO
- embeddings
- multimodal and diffusion basics
- decoding
Coming soon
5 free questions from this pack
The free sample questions are being added.