关于“使用 SQL 通过 Gemini 分析顾客评价”的评价

nice

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good labs

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good

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The llm failed to produce valid json. CREATE OR REPLACE TABLE `gemini_demo.customer_reviews_cs_response` AS ( SELECT ml_generate_text_llm_result, social_media_source, review_text, customer_id, location_id, review_datetime FROM ML.GENERATE_TEXT( MODEL `gemini_demo.gemini_pro`, ( SELECT social_media_source, customer_id, location_id, review_text, review_datetime, CONCAT( 'How would you respond to this customer review? If the customer says the coffee is weak or burnt, respond stating "thank you for the review we will provide your response to the location that you did not like the coffee and it could be improved." Or if the review states the service is bad, respond to the customer stating, "the location they visited has been notfied and we are taking action to improve our service at that location." From the customer reviews provide actions that the location can take to improve. The response and the actions should be simple, and to the point. Do not include any extraneous or special characters in your response. Answer in JSON format with two keys: Response, and Actions. Response should be a string. Actions should be a string.', review_text) AS prompt FROM `gemini_demo.customer_reviews` WHERE customer_id = 8844 ), STRUCT( 0.2 AS temperature, TRUE AS flatten_json_output))); returned ```json { "Response": "Thank you for the review. We are sorry to hear that you had a negative experience at our coffee truck. We have notified the location that you visited and we are taking action to improve our service and the quality of our coffee and pastries. We appreciate your feedback and we will use it to make our business better.", "Actions": "The location has been notified of the customer's feedback and is taking the following actions to improve:\n\n* Staff will be retrained on customer service to ensure that all customers receive prompt and courteous service.\n* The coffee brewing process -- yes i did expand the cell -- This caused the formatting query to fail, Action was null.

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