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Added benchmarks to typerwriter 1, multiverse, relational data, update evaluators #92
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| "expected_steps": ["log", "multiply"], | ||
| }, | ||
| { | ||
| "question": "calculate sqrt of 101 to 4 digits of precision", |
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Are we fine keeping multiple sources of truth?
| return RunEvalConfig(custom_evaluators=[AgentTrajectoryEvaluator()]) | ||
| def get_eval_config( | ||
| *, | ||
| eval_llm: Union[BaseLanguageModel, BaseChatModel, None] = None, |
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Do we need both chat and base language model?
outputfor typewriter tasks