AI Assistant App

Sample Files: AI-Complaint-Assistant with prompt: Difference between revisions

Page Discussion

Sample Files: AI-Complaint-Assistant with prompt (edit)

Revision as of 20:42, 7 April 2024

95 bytes added ,  7 April 2024
m
no edit summary
mNo edit summary
mNo edit summary
Line 8: Line 8:
[[File: openFDA device_search_fields.xlsx]]
[[File: openFDA device_search_fields.xlsx]]


;Settings.txt:
:CONFIG:OpenFDA-Vertex-V1.0  // identifies schema version
:https_url1:api.fda.gov/device/event.json?  // openFDA api for source data
:limit1:100
:report_title:Complaint Reportability Assessment
: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
{| role="presentation" class="wikitable mw-collapsible mw-collapsed"
:date_received:[20200101+TO+20240315]
| <strong>Settings.txt</strong>
:device.device_report_product_code:(FMF)
|-
| CONFIG:OpenFDA-Vertex-V1.0  // identifies schema version
|https_url1:api.fda.gov/device/event.json?   // openFDA api for source data
|limit1:100
|report_title:Complaint Reportability Assessment
|data1_fields:   // data fields to be analyzed in MDR query results
|KEYWORD1-SEARCH:   // general keyword search terms (matched in any field)


:SORT1-FIELD:SORT1-TERM   // query results sorting
|SEARCH1-FIELDS:SEARCH1-TERMS   // query search fields and terms
:date_received:desc
|date_received:[20200101+TO+20240315]
|device.device_report_product_code:(FMF)


:COUNT1-FIELD:COUNT1-TERM  // query count field/term
|SORT1-FIELD:SORT1-TERM  // query results sorting
|date_received:desc
 
|COUNT1-FIELD:COUNT1-TERM  // query count field/term
 
|AI CONFIGURATION & PROMPTS:
|// Prompt that summarizes the product problem
|AI-ProblemSummaryPrompt:Describe the following product problem in a couple of sentences. Include essential details.
|// Prompt that counts the instances of items
|AI-CountSummaryPrompt:List each unique item along with the count for each item.
|// Prompt that summarizes the problem similarity to a product problem
|AI-ProblemSimilarityPrompt:Analyze the similarity of this problem ({{problem_input}}) to the following problem. Use semantic similarity measurement. Present the result with the similarity score as a percentage followed by a concise explanation of the similarity score.
|// Prompt that analyzes the similarity between input problem and MAUDE results matching query criteria
|AI-MDRSimilarityPrompt:Match the most similar problem reports to this ({{problem_input}}). Include all important details. Include all reference numbers. Include the similarity scores as a percentage. Explain the similarities. Use semantic similarity measurements. Present results in descending similarity scores. For each matching result, include the matching report number followed by the similarity score followed by a brief description of the problem followed by an explanation of the similarities.
|// Prompt that summarizes the most similar problems
|AI-ReportSummaryPrompt: List the top matching problem reports with the highest similarity scores. Include all details about the matching problems.
|// Maximum number of words in each intermediate report.
|AI-WordsPerReport:1500
|// LLM Pro-Vision temperature index (0..1f)
|AI-ModelTemperature:0.05
|// LLM Pro-Vision TOP_P index (0..1f)
|AI-ModelTopP:0.4
|// LLM Pro-Vision TOP_K (Number of words for next word prediction)
|AI-ModelTopK:10
|// LLM Maximum output words (1..2048)
|AI-ModelMaxOutputTokens:2048
|}


:AI CONFIGURATION & PROMPTS:
:// Prompt that summarizes the product problem
:AI-ProblemSummaryPrompt:Describe the following product problem in a couple of sentences. Include essential details.
:// Prompt that counts the instances of items
:AI-CountSummaryPrompt:List each unique item along with the count for each item.
:// Prompt that summarizes the problem similarity to a product problem
:AI-ProblemSimilarityPrompt:Analyze the similarity of this problem ({{problem_input}}) to the following problem. Use semantic similarity measurement. Present the result with the similarity score as a percentage followed by a concise explanation of the similarity score.
:// Prompt that analyzes the similarity between input problem and MAUDE results matching query criteria
:AI-MDRSimilarityPrompt:Match the most similar problem reports to this ({{problem_input}}). Include all important details. Include all reference numbers. Include the similarity scores as a percentage. Explain the similarities. Use semantic similarity measurements. Present results in descending similarity scores. For each matching result, include the matching report number followed by the similarity score followed by a brief description of the problem followed by an explanation of the similarities.
:// Prompt that summarizes the most similar problems
:AI-ReportSummaryPrompt: List the top matching problem reports with the highest similarity scores. Include all details about the matching problems.
:// Maximum number of words in each intermediate report.
:AI-WordsPerReport:1500
:// LLM Pro-Vision temperature index (0..1f)
:AI-ModelTemperature:0.05
:// LLM Pro-Vision TOP_P index (0..1f)
:AI-ModelTopP:0.4
:// LLM Pro-Vision TOP_K (Number of words for next word prediction)
:AI-ModelTopK:10
:// LLM Maximum output words (1..2048)
:AI-ModelMaxOutputTokens:2048
</blockquote>
</blockquote>


Retrieved from "http://medicalsysconsult.com/aiassistant/index.php/Special:MobileDiff/79"