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Step-by-step guide on deploying a natural language processing machine learning model to the Azure platform and consuming it using Power Automate and Power Apps to generate text and give you creative writing ideas.

active 2023-08-172026-04-18 (UTC)

Complete coverage26,448 / 26,448 hourly files (100%) · 2 absent upstream2023-08-152026-08-20 (UTC)
Events
24
Pushes
1
Pull requests
2
Issues
1
Stars
9
Forks
11

Activity over time

Daily event counts in the loaded window

Line chart, 976 days from 2023-08-17 to 2026-04-18. Pushes: 1 total, peak 1 in a day. Pull requests: 2 total, peak 2 in a day. Issues: 1 total, peak 1 in a day. Comments: 0 total, peak 0 in a day. Stars: 9 total, peak 2 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
leestott2110
dingzt971000
john0isaac1010

Recent activity

Latest issues, pull requests and releases

  • Issue#3dingzt972024-12-16 06:18
    How can I inject prompt words into a large language model ?
  • Pull request#2leestott2024-01-30 15:01
  • Pull request#2john0isaac2024-01-30 02:33

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 9 stars here means stars gained during the window, not the repo's star count.