Sample Files: AI-Complaint-Assistant with prompt: Difference between revisions
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AI-ProblemSummaryPrompt: // Prompt that summarizes the product problem | AI-ProblemSummaryPrompt: // Prompt that summarizes the product problem | ||
AI-CountSummaryPrompt: // Prompt that counts the instances of items | AI-CountSummaryPrompt: // Prompt that counts the instances of items | ||
AI-ProblemSimilarityPrompt: // Prompt that summarizes the problem similarity to a product problem | AI-ProblemSimilarityPrompt: // Prompt that summarizes the problem similarity to a product problem | ||
AI-MDRSimilarityPrompt: // Prompt that analyzes the similarity between input problem and MAUDE results matching query criteria | AI-MDRSimilarityPrompt: // Prompt that analyzes the similarity between input problem and MAUDE results matching query criteria | ||
AI-ReportSummaryPrompt: // Prompt that summarizes the most similar problems | AI-ReportSummaryPrompt: // Prompt that summarizes the most similar problems | ||
AI-WordsPerReport: // Number of words in each intermediate report (recommended: 1500, range: 100-5000) | |||
AI-WordsPerReport: // Number of words in each intermediate report (recommended: 1500, range: 100-5000) | |||
AI-ModelTemperature: // LLM Temperature index (recommended: 0.05, range: 0..1f) | AI-ModelTemperature: // LLM Temperature index (recommended: 0.05, range: 0..1f) | ||
AI-ModelTopP: // LLM TOP_P index (recommended: 0.4, range: 0..1f) | AI-ModelTopP: // LLM TOP_P index (recommended: 0.4, range: 0..1f) | ||
AI-ModelTopK: // LLM TOP_K number of words for next word prediction (recommended: 10, range: 1-128) | AI-ModelTopK: // LLM TOP_K number of words for next word prediction (recommended: 10, range: 1-128) | ||
AI-ModelMaxOutputTokens: // LLM maximum output words (range: 1-2048) | AI-ModelMaxOutputTokens: // LLM maximum output words (range: 1-2048) | ||
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Revision as of 20:59, 7 April 2024
You can share your own app files on this page. Please include a brief description of your app files.
Reference files
File:ComplaintAssessmentPrompt-Schema.zip
File:OpenFDA device search fields.xlsx
Settings.txt CONFIG:OpenFDA-Vertex-V1.0 // identifies schema version (readonly)
https_url1: // openFDA api for source data
limit1: // limit of query results
report_title: // title of output report
data1_fields: // data fields to be analyzed in MDR query results
KEYWORD1-SEARCH: // general keyword search terms (matched in any field)
SEARCH1-FIELDS:SEARCH1-TERMS // query search fields and terms, see openFDA device_search_fields.xlsx for full details of searchable fields
date_received: // example field
device.device_report_product_code: // example field
SORT1-FIELD:SORT1-TERM // query results sorting date_received:desc
COUNT1-FIELD:COUNT1-TERM // query count field/term
AI-ProblemSummaryPrompt: // Prompt that summarizes the product problem
AI-CountSummaryPrompt: // Prompt that counts the instances of items
AI-ProblemSimilarityPrompt: // Prompt that summarizes the problem similarity to a product problem
AI-MDRSimilarityPrompt: // Prompt that analyzes the similarity between input problem and MAUDE results matching query criteria
AI-ReportSummaryPrompt: // Prompt that summarizes the most similar problems
AI-WordsPerReport: // Number of words in each intermediate report (recommended: 1500, range: 100-5000)
AI-ModelTemperature: // LLM Temperature index (recommended: 0.05, range: 0..1f)
AI-ModelTopP: // LLM TOP_P index (recommended: 0.4, range: 0..1f)
AI-ModelTopK: // LLM TOP_K number of words for next word prediction (recommended: 10, range: 1-128)
AI-ModelMaxOutputTokens: // LLM maximum output words (range: 1-2048)
Sample App Files
Media: Basic-Complaint-Assessment-with-prompt.zip Description: Settings includes filter on product code FMF and date range from 2020 to present. Prompts for matching top similar product problem codes and individual MAUDE reports using semantic similarity.