Sabitlenmiş Tweet

Most asked GenAI interview questions in 2026:
> What is RAG?
> How do you reduce Hallucination?
> Fine-tuning vs Prompt Engineering - when to use what?
> What are embeddings?
> Explain attention mechanism simply
> What is the difference between LLM and SLM?
> How does vector database work?
> What is temperature in LLMs?
> Agents vs Chains - what's the difference?
> What is RLHF?
> How would you evaluate an LLM output?
> What is context window and why does it matter?
> Explain tokenization
> What is prompt injection?
> Fine-tuning vs RAG - which one and when?
Save this. Thank me later
English
































