Large, untested, poorly documented codebases are tricky to work with. They’re very hard to reason about.
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The transcript and conversation history are sent to an LLM to begin generation.，推荐阅读WPS官方版本下载获取更多信息
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Counterfactuals Causal inference is easier when the effects are large and sudden. The COVID-19 pandemic and accompanying policy measures caused economic disruption so stark that sophisticated statistical approaches were unnecessary for many questions. For example, unemployment jumped sharply in the early weeks of the pandemic, leaving little room for alternative explanations.