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CIGLR-ai-lab / GreatLakes-TempSensors

Collaborative repository for optimizing the placement of temperature sensors in the Great Lakes using the DeepSensor machine learning framework. Aiming to enhance the quantitative understanding of surface temperature variability for better environmental monitoring and decision-making.
MIT License
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Gain Access to U-M GPT and Explore its Potential for Our Project (Optional) #9

Closed DaniJonesOcean closed 3 months ago

DaniJonesOcean commented 4 months ago

Issue Description:

We have access to U-M GPT, a language model tool potentially capable of assisting with various aspects of our GreatLakes-TempSensors project. While U-M GPT can be a resource for coding and text editing, it’s important to understand the generated content and ensure it aligns with our project goals and scientific accuracy. (Of course - it's just a suggestion generator, basically)

Task:

  1. Accessing U-M GPT:

    • Familiarize yourself with U-M GPT and the process for gaining access. Follow any instructions or registration processes sent to you from U-M's IT services (although it should be straightforward to login once you have a uniqname).

  2. Experimentation:

    • Once you have access, begin experimenting with U-M GPT’s capabilities. Some suggested areas to explore include:
      • Generating code snippets for data analysis or automation tasks.
      • Developing drafts for project documentation or reports.
      • Aiding in the conceptualization of complex problems or designing experiments.

  3. Critical Use:

    • It's crucial to critically evaluate and understand any content produced by U-M GPT. Ensure that you:
      • Verify the accuracy of the information.
      • Understand the reasoning behind any suggested code.
      • Can justify its application within the context of our project.

  4. Ethical Use and Understanding:

    • U-M GPT is a tool to augment our expertise, not replace it. Remember that while it can produce helpful suggestions, the ultimate responsibility for the content rests with us, the human researchers.

Deliverable:

Resources:

DaniJonesOcean commented 3 months ago

@eredding02 As mentioned in the title, this one is optional. Feel free to close it anytime - we can just keep the links stored here on the closed issue for future reference.