Hackathon

Using GenAI to extract rules from data and use rules to configure workflows

use cases from Lee, Jeya, Daniel, Jonas , [ ? ] ...

• Lee will lead the way by present ongoing work

• bring your own work to the hands-on discussion, several of you are approaching this from difference angles.

...

Notes

...

[Jonas] - in-browser ai -
https://developer.chrome.com/docs/extensions/ai/prompt-api#prompt_the_model,
https://github.com/webmachinelearning/prompt-api 

a) get the data

txt = await(await fetch('https://raw.githubusercontent.com/episphere/gemini/main/doc/Electronic%20path%20data%20example(Sheet1).csv')).text()

rows=txt.split(/\r\n/).slice(0,-1) // blank tail removed

rows=rows.map(function(row){return {txt:row,report_id:row.match(/[\w]+/)[0]}})

b) Schema --> get "generated schema" from

schema = https://github.com/episphere/gemini/wiki/Nico

c) start session, apply schema to any of the 75 reports

session = await LanguageModel.create()

res = await session.prompt(rows[9].txt,{responseConstraint: schema})

res = JSON.parse(res)

d) Extract parameter values

extracted={

    "Chronic cervicitis":res["Chronic cervicitis"],

    "HPV 18":res["HPV 18"],

    "Transformation Zone/Endocervical Glands":res["Transformation Zone/Endocervical Glands"]

}

e) pack it in a single function

extractNico = (await import('https://episphere.github.io/gemini/extractNico.mjs')).extractNico

https://github.com/episphere/gemini/blob/main/extractNico.mjs