ByteDance

Describe the typical agent execution loop.

Fill in the scaled dot product attention formula.

When is a fixed LCEL chain preferable to an agent loop, and what is the decisive question to ask?

List SWE-bench, AgentBench, GAIA, and TAU-bench: what they measure, their shared blind spots, and how to interpret agent benchmark numbers.

What LangGraph feature allows the agent loop to cycle back to an earlier node rather than terminating?

Which practices reflect the principle of least privilege applied to an agent's tool set?

Which mid run eval design gives real signal at 1T tokens?

Compare CrewAI, AutoGen, and LangGraph coordination models and their reliability tradeoffs

Where does quality leak in a self-instruct synthetic data pipeline?

How does least privilege tool scoping reduce security risk in an agent system?