xAI

Explain scaled dot product attention.

When should you fine-tune instead of using RAG?

Why combine BM25 with dense embeddings for retrieval?

Which of these are valid concerns when using LLM-as-judge for evaluation?

How does MCP differ from OpenAI style function calling?

Describe the typical agent execution loop.

Which of these are valid considerations when choosing a chunking strategy for RAG?

Put the steps of a basic RAG query pipeline in order.

How many tokens does "hello world" use with a GPT tokenizer?

Fill in the scaled dot product attention formula.