Apple

What does RAG primarily help with in LLM based applications?

Why combine BM25 with dense embeddings for retrieval?

What is the Model Context Protocol (MCP) and what problem does it solve?

What distinguishes an AI agent from a plain LLM call?

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.

What is the primary purpose of embeddings in modern NLP?

What is semantic chunking and when does it beat fixed size chunking?

Compute the hardware cost vs gross margin for serving $15/M output tokens on H100