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Agenda:   Milestone 1 Meeting Minutes #1

@doctorbanu

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@doctorbanu

Meeting 1

Date: September 27, 2025 (Saturday, 10:00 AM EST)
Attendees: Amro, Aseel, Reem, Caesar, Banu

Summary

  • Group members met and introduced themselves.
  • Project topic suggestions were presented:
    • AI Jobs vs Real Jobs (continuation of CDSP)
    • Reddit Mental Health Text Analysis
    • Machine Learning for Climate–Environmental Data

Action Items

  • Conduct a domain search on the proposed topics.
  • Bring alternative project ideas to the next meeting.
  • Create a Google Doc to facilitate asynchronous collaboration.

Meeting 2

Date: September 29, 2025 (Monday, 12:00 PM EST)
Attendees: Amro, Aseel, Reem, Caesar, Banu

Summary

  • Members presented new project ideas and ELO2 process plans:
    • Mental Health of University Students in Sudan
    • Probabilistic Dental Triage System with Synthetic Data Generation for Resource-Limited Settings
    • Project: Green AI Benchmarking of Foundation Models
    • Green AI — Energy & Water Efficiency in Machine Learning
  • Previously proposed topics were dropped due to various constraints.
  • The new ideas were discussed, but no final consensus was reached.

Action Items

  • All members will research the newly proposed topics before the next meeting.
  • The group will reach a final decision on the project topic at the next session.

Meeting 3

Date: September 30, 2025 (Tuesday, 1:30 PM EST)
Attendees: Amro, Aseel, Reem, Caesar, Banu

Summary

  • The topics discussed in the previous meeting were revisited.
  • After evaluating the group’s collective knowledge, experience, and skills, the team decided that “Project: Green AI Benchmarking of Foundation Models” was the most suitable topic for the ELO2 project.

Action Items

  • Conduct domain research on the selected project topic.

Meeting 4

Date: October 5, 2025 (Sunday, 12:00 PM EST)
Attendees: Amro, Aseel, Reem, Caesar, Banu, Safia

Summary

  • Safia officially joined the project team.
  • Amro presented a two-month (ELO2 deadline) project plan.
  • The team discussed how to kick off the project, including milestones, constraints, and deliverables.
  • During domain research, Reem found a recently published study with striking methodological similarities to the group’s topic and shared it with us.

Action Items

  • Seek Evan’s feedback on how to proceed with the project in light of the new findings.

Meeting 5

Date: October 7, 2025 (Tuesday, 11:00 AM EST)
Attendees: Amro, Aseel, Reem, Caesar, Banu, Safia

Summary

  • Based on Evan’s feedback, the group decided to extend the topic-finalization phase by approximately two weeks and focused to adjust the project subject.
  • Members proposed ways to refine and make the project more original, such as:
    • Comparing Big AI vs Small AI models
    • Evaluating Accuracy vs Eco-Friendliness

Action Items

  • Conduct in-depth research to refine and strengthen the project’s originality.
  • Review the sources cited in the research paper previously shared by Reem.

Meeting 6

Date: October 9, 2025 (Thursday, 10:30 AM EST)
Attendees: Amro, Aseel, Reem, Caesar, Banu, Safia

Summary

  • The group held a brainstorming session to further develop and differentiate the project topic.
  • Amro drafted a preliminary project plan based on the discussion.

Action Items

  • Agreed to hold another meeting the following day to finalize the details.
  • A GitHub repository will be created for the project.

Meeting 7

Date: October 10, 2025 (Friday, 12:00 PM EST)
Attendees: Amro, Reem, Caesar, Banu

Summary

  • A new and original research question was finalized:
    “To what extent can open-source LLMs achieve comparable accuracy to corporate (commercial) models while significantly reducing environmental footprint?”
  • A new Google Doc was created to share useful resources and references for the project.

Action Items

  • All members to gain basic knowledge about RAG and distilled models.
  • Banu and Aseel: Select which models to use.
  • Caesar and Safia: Define how to measure accuracy metrics.
  • Amro and Reem: Define how to measure environmental cost metrics.

Meeting 8

Date: October 14, 2025 (Tuesday, 1:30 PM EST)
Attendees: Amro, Aseel, Caesar, Banu, Safia

Summary

  • Members presented progress on their assigned tasks from the previous meeting.
  • The discussion recap:
    • Aseel & Banu: Selected GPT-4 (commercial) and Mistral-7B (open-source) models. Evaluation will focus on reasoning and summarization using MMLU and Math datasets. Detailed documentation can be found here.
    • Caesar & Safia: Suggested using the LightEval library with a customized dataset. Caesar demonstrated how to split the GSM8K dataset into a 500-example subset. Detailed documentation can be found here.
    • Amro & Reem: Presented environmental metrics and detailed evaluation methods for environmental factors.

Action Items

  • Review all presented work by October 16th.
  • Meet again on October 16th to discuss task allocation for the second milestone.

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