Mt-Bench (Multi-Turn Benchmark)

A challenging multi-turn benchmark that measures the ability of large language models (LLMs) to engage in coherent, informative, and engaging conversations.

Mt-Bench (Multi-Turn Benchmark)

Areas of application

  • Evaluation of large language models’ conversation capabilities
  • Assessment of LLMs’ understanding and response to user queries
  • Development of conversational AI systems
  • Improvement of dialogue management in chatbots and virtual assistants

Example

For instance, an LLM may be tested on its ability to converse with a user about a complex topic like climate change, evaluating its capacity to understand and respond to follow-up questions and provide relevant information.