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edogola4/Email-Signature-Extraction-with-LLMs

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This project aims to evaluate and compare different Large Language Models (LLMs) for the task of extracting email signature information and structuring it into a JSON format. The evaluated models are OpenAI GPT-3.5 turbo and Anthropic Claude 3. The project includes prompt engineering, testing, and iteration to achieve the best results.

active 2024-07-292024-07-29 (UTC)

Complete coverage27,225 / 27,227 hourly files (100%) · 2 absent upstream2023-08-152026-09-22 (UTC)
Events
9
Pushes
6
Pull requests
0
Issues
0
Stars
1
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 1 days from 2024-07-29 to 2024-07-29. Pushes: 6 total, peak 6 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 in a day.

  • Pushes
  • Pull requests
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  • Comments
  • Stars

Top contributors

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

ContributorContributionsPushesPRsComments
edogola46600

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No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.