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" \n",
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" \n",
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"- **Output:** An engaging tweet that correctly answers the question from the retrieved info.\n",
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"- **Output:** An engaging tweet that correctly answers the question from the retrieved info.\n",
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" \n",
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" \n",
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"Let's use LangChain's expression langugage (LCEL) to illustrate this. Any prompt here will do, we will optimize the final prompt with DSPy.\n",
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"Let's use LangChain's expression language (LCEL) to illustrate this. Any prompt here will do, we will optimize the final prompt with DSPy.\n",
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"\n",
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"\n",
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"Considering that, let's just keep it to the barebones: **Given {context}, answer the question {question} as a tweet.**"
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"Considering that, let's just keep it to the barebones: **Given {context}, answer the question {question} as a tweet.**"
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]
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]
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