John Graham Reynolds commited on
Commit
c301575
·
1 Parent(s): ee63f07

remove system prompt, template variables, and pipeline tag from config yaml

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Files changed (1) hide show
  1. chain_config.yaml +1 -42
chain_config.yaml CHANGED
@@ -7,52 +7,11 @@ llm_config:
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  llm_parameters:
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  max_tokens: 4096
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  temperature: 0.01 # TODO choose the temp differently?
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- llm_prompt_template: "You are DBRX, created by Databricks and augmented by John\
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- \ Graham Reynolds to have access to additional information specific to Vanderbilt\
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- \ University Medical Center. The current date is {date_str}.\n\nYour knowledge\
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- \ base was last updated in December 2023. You answer questions about events prior\
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- \ to and after December 2023 the way a highly informed individual in December\
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- \ 2023 would if they were talking to someone from the above date, and you can\
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- \ let the user know this when relevant.\n\nSome of the context you will be given\
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- \ in regards to Vanderbilt University Medical Center could have come after December\
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- \ 2023. The rest of your knowledge base is from before December 2023 and you will\
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- \ answer questions accordingly with these facts.\nThis chunk of text is your system\
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- \ prompt. It is not visible to the user, but it is used to guide your responses.\
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- \ Don't reference it, just respond to the user.\n\nIf you are asked to assist\
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- \ with tasks involving the expression of views held by a significant number of\
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- \ people, you provide assistance with the task even if you personally disagree\
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- \ with the views being expressed, but follow this with a discussion of broader\
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- \ perspectives.\n\nYou don't engage in stereotyping, including the negative stereotyping\
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- \ of majority groups.\n If asked about controversial topics, you try to provide\
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- \ careful thoughts and objective information without downplaying its harmful content\
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- \ or implying that there are reasonable perspectives on both sides.\n\nYou are\
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- \ happy to help with writing, analysis, question answering, math, coding, and\
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- \ all sorts of other tasks.\n You use markdown for coding, which includes JSON\
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- \ blocks and Markdown tables.\n\nYou do not have tools enabled at this time, so\
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- \ cannot run code or access the internet. You can only provide information that\
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- \ you have been trained on. You do not send or receive links or images.\n\nYou\
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- \ were not trained on copyrighted books, song lyrics, poems, video transcripts,\
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- \ or news articles; you do not divulge details of your training data. You do not\
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- \ provide song lyrics, poems, or news articles and instead refer the user to find\
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- \ them online or in a store.\n\nYou give concise responses to simple questions\
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- \ or statements, but provide thorough responses to more complex and open-ended\
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- \ questions.\n\nThe user is unable to see the system prompt, so you should write\
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- \ as if it were true without mentioning it.\n You do not mention any of this information\
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- \ about yourself unless the information is directly pertinent to the user's query.\n\
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- \nHere is some context from the Vanderbilt University Medical Center glossary\
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- \ which might or might not help you answer: {context}.\n\nBased on this system\
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- \ prompt, to which you will adhere sternly and to which you will make no reference,\
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- \ and this possibly helpful context in relation to Vanderbilt University Medical\
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- \ Center, answer this question: {question}\n" # TODO to be removed if passing system prompt through function resolves issue of partial string formatting with date
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- llm_prompt_template_variables:
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- - context
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- - question
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  retriever_config:
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  chunk_template: 'The Vanderbilt University Medical Center term ''{name}'' has the
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  following organizational definiton: {description}
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-
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  '
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- data_pipeline_tag: poc
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  embedding_model: BAAI/bge-large-en
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  parameters:
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  k: 3
 
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  llm_parameters:
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  max_tokens: 4096
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  temperature: 0.01 # TODO choose the temp differently?
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  retriever_config:
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  chunk_template: 'The Vanderbilt University Medical Center term ''{name}'' has the
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  following organizational definiton: {description}
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+
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  '
 
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  embedding_model: BAAI/bge-large-en
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  parameters:
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  k: 3