From 6f38b8bec03b4a9b20b294d66dde8237beac1743 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E6=89=BF=E7=8E=99?= Date: Fri, 12 Jul 2024 15:38:06 +0800 Subject: [PATCH] Tiancheng: update_insight English prompts --- .../worker/summary/update_insight_prompt.yaml | 51 +++++++++++++++++++ .../worker/write/info_filter_worker.yaml | 2 +- 2 files changed, 52 insertions(+), 1 deletion(-) diff --git a/memory_scope/memory/worker/summary/update_insight_prompt.yaml b/memory_scope/memory/worker/summary/update_insight_prompt.yaml index c4d43244..c086d5b3 100644 --- a/memory_scope/memory/worker/summary/update_insight_prompt.yaml +++ b/memory_scope/memory/worker/summary/update_insight_prompt.yaml @@ -4,6 +4,11 @@ update_insight_system: 请一步步思考，并按如下格式输出: 思考: 思考的依据和过程，150字以内。 {user_name}的资料: <信息>, 一定加<> + en: | + Extract profile information of {user_name} from the sentences below according to the given category and determine whether it contradicts existing information. If there is a contradiction, the new information should take precedence. Integrate the existing information with the new information and output it. + Please think step-by-step and output in the following format: + Thought: The basis and process of thinking, within 150 words. + {user_name}'s profile: , make sure to enclose it in <>" update_insight_few_shot: @@ -49,8 +54,54 @@ update_insight_few_shot: 情感状况无关。整合得出{user_name}情感状况为单身，受到一名18岁男生的追求但并不喜欢他。 {user_name}的资料：<单身，受到一名18岁男生的追求但并不喜欢他。> + en: | + Example 1: + Because it rained heavily in Chengdu yesterday, {user_name} got completely soaked. + {user_name} is concerned about Chengdu's weather forecast for tomorrow. + Category: {user_name}'s location + Existing information: {user_name}'s location: Hangzhou + Thought: From the first sentence, it can be inferred that {user_name} is in Chengdu. The second sentence does not directly reveal {user_name}'s location but matches the information that {user_name} is in Chengdu from the first sentence. This contradicts the existing information (that {user_name} is in Hangzhou), so we output the updated information. + {user_name}'s profile: + + Example 2: + {user_name} recently recovered from stomach issues. + {user_name} is interested in traditional Chinese medicine. + Category: {user_name}'s health status + Existing information: {user_name}'s health status: Stomach issues, high blood pressure + Thought: From the first sentence, it can be inferred that {user_name} recently recovered from stomach issues, which contradicts the existing information. Therefore, the new information should take precedence. The second sentence is not related to {user_name}'s health status. Integrating the existing information and the new information, we get that {user_name}'s health status is healthy stomach and high blood pressure. + {user_name}'s profile: + + Example 3: + {user_name} just graduated, and their first job is as a bank receptionist. + {user_name}'s dream job is to be a professional gamer. + Category: {user_name}'s occupation + Existing information: {user_name}'s occupation: Works at China Merchants Bank + Thought: Integrating the existing information and the information from the first sentence, it can be inferred that {user_name}'s current occupation is a receptionist at China Merchants Bank. The second sentence explains {user_name}'s dream job but not the current occupation. + {user_name}'s profile: + + Example 4: + {user_name} was exposed to optimization algorithm research during university. + Category: {user_name}'s field of study + Existing information: {user_name}'s field of study: Related to artificial intelligence + Thought: From the sentence, it can be inferred that {user_name}'s university major is related to optimization algorithms. This does not contradict the existing information (that {user_name}'s major is related to artificial intelligence). Integrating both, we can conclude that {user_name}'s university major is related to artificial intelligence and optimization algorithms. + {user_name}'s profile: + + Example 5: + {user_name} is single. + {user_name} is pursued by an 18-year-old male but doesn't want to accept his advances or hurt him. + {user_name} prefers mature and emotionally stable men. + Category: {user_name}'s relationship status + Existing information: {user_name}'s relationship status: Has a boyfriend + Thought: From the first sentence, it can be inferred that {user_name} is currently single, which contradicts the existing information. Therefore, the new information should take precedence. From the second sentence, it can be inferred that {user_name} is being pursued by an 18-year-old male but does not like him. The third sentence expresses {user_name}'s ideal partner type but is not related to {user_name}'s relationship status. Integrating this, we conclude that {user_name}'s relationship status is single and being pursued by an 18-year-old male but does not like him. + {user_name}'s profile: + update_insight_user_query: cn: | {user_query} 类别：{insight_key} 已有信息：{insight_key_value} + + en: | + {user_query} + Category: {insight_key} + Existing information: {insight_key_value} diff --git a/memory_scope/memory/worker/write/info_filter_worker.yaml b/memory_scope/memory/worker/write/info_filter_worker.yaml index 21fab2ef..1cf5a4e7 100644 --- a/memory_scope/memory/worker/write/info_filter_worker.yaml +++ b/memory_scope/memory/worker/write/info_filter_worker.yaml @@ -12,7 +12,7 @@ info_filter_system: Note: A score of 0 indicates no information about {user_name}, 1 indicates hypothetical or fictional content about or from {user_name}, 2 indicates general, timely, or speculative information about {user_name}, and 3 indicates significant and verifiable information about {user_name} or information that {user_name} requested to be recorded. Perform information scoring for each sentence, and output a total of {batch_size} scores. Please ensure to output in the following format, and the final result must be enclosed in <>: - Thought: The basis and process of thinking, within 30 characters. + Thought: The basis and process of thinking, within 30 words. Result: