langchain
bcce9a3a - Fix age inconsistency in plan and execute Jupyter notebook example (#4814)

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2 years ago
Fix age inconsistency in plan and execute Jupyter notebook example (#4814) The current example in https://python.langchain.com/en/latest/modules/agents/plan_and_execute.html has inconsistent reasoning step (observing 28 years and thinking it's 26 years): ``` Observation: 28 years Thought:Based on my search, Gigi Hadid's current age is 26 years old. Action: { "action": "Final Answer", "action_input": "Gigi Hadid's current age is 26 years old." } ``` Guessing this is model noise. Rerunning seems to give correct answer of 28 years.
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