EDITED
v. 41
People | 6 | Posts | 61 | Dribs | 55 |
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Event finish
Research
backend: toward mass processing
backend: iterate over data submission text files
styling
Research
Added Stadt Bern (@philippemeyer5)
Research
The website programmed by Michael Luggen has some additional AI generated content now:
https://l00mi.github.io/govtechhack23-RestructFeedback/frontend/index.html
SGV added (@philippemeyer5)
Added KT Obwalden, Jura (@philippemeyer5)
Research
Kanton Luzern und Testkanton added (@philippemeyer5)
Added Summary Bern (@philippemeyer5)
Added Summary Hauptstadtregion Schweiz (@philippemeyer5)
Added SGB
With summary and sentiment. (@philippemeyer5)
Added Hauptstadtregion Schweiz
Hope this works, first time working in json. (@philippemeyer5)
renamed directory (@vazpe)
moved README.md (@vazpe)
moved files to a subfolder (@vazpe)
Create README.md (@vazpe)
JOINED
Research
Add files via upload (@vazpe)
add folder structure for eid
JOINED
Research
text only
remove unused files
Add files via upload
backend: more iterations and then stuck
This model's maximum context length is 4097 tokens. However, your messages resulted in 5088 tokens.
Add files via upload
Create .gitkeep
backend: more test iterations
add another resource
add consultation as text doc
added consultation docs and results to data
refactor data directory structure
add more resources
add more resources links to READMEs
backend: refactoring
add .env-template
replace ':' with '__' in data
Delete Arbeitgeberverband_20210121.msg (@vazpe)
Delete Vernehmlassung_Kt_Genf_keine_Bemerkung_20210226.msg (@vazpe)
Start
GovTech Hackathon 2023