Native interaction models cut latency to 0.4s
Thinking Machines achieves 0.4s turn-taking latency by training from scratch for concurrent listening and speaking, removing legacy speech wrappers.
Thinking Machines achieves 0.4s turn-taking latency by training from scratch for concurrent listening and speaking, removing legacy speech wrappers.
LangSmith supports four distinct evaluator types to validate agent performance. Learn how offline testing and LLM-as-judge scoring catch regressions early.