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You said
To replicate results from the ReAct study (Yao et al., 2023), we prompted the agent with six few-shot examples of successful trajectories.
Does this mean you are doing prompt engineering, using example shown in 4.3 Reflexion Enables More Intuitive Search Queries?
4.3 Reflexion Enables More Intuitive Search Queries
Put these prompt before user input, and just get result?
But I think this is not the case, because AFAIK, to get this kind of result, you have to use prompt like https://github.com/hwchase17/langchain/blob/b7ebb8fe3009dd791b562968524718e20bfb4df8/langchain/agents/conversational/prompt.py#L14-L27 it usually need to include you Must use this format
you Must use this format
The text was updated successfully, but these errors were encountered:
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You said
Does this mean you are doing prompt engineering, using example shown in
4.3 Reflexion Enables More Intuitive Search Queries
?Put these prompt before user input, and just get result?
But I think this is not the case, because AFAIK, to get this kind of result, you have to use prompt like https://github.com/hwchase17/langchain/blob/b7ebb8fe3009dd791b562968524718e20bfb4df8/langchain/agents/conversational/prompt.py#L14-L27 it usually need to include
you Must use this format
The text was updated successfully, but these errors were encountered: