Generative AI: 1. Ethics 2.CLIP: Difference between revisions

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*Existing RLHF and RLAIF exploring
*Existing RLHF and RLAIF exploring
*Red-teaming dataset exploring
*Red-teaming dataset exploring
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!scope="row"|Week 5
!scope="row"|Week 5
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* Familiarizing with Dromedary, SALMON, Llama base models.
* Familiarizing with Dromedary, SALMON, Llama base models.
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!scope="row"|Week 6
!scope="row"|Week 6
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* Evaluation of different base models.
* Evaluation of different base models.
* Choice of using Llama 2 model as our baseline.
* Choice of using Llama 2 model as our baseline.
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* Red teaming dataset exploration.
* Red teaming dataset exploration.
* Reading about ethical theories.
* Reading about ethical theories.
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| Mid-term Presentation & Start to write the Wikipedia page with the plan
| Mid-term Presentation & Start to write the Wikipedia page with the plan
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!scope="row"|Week 11
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!scope="row"|Week 12
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!scope="row"|Week 13
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Revision as of 20:00, 1 December 2023

Project Plan and Milestones

Weekly Plan

Date Exploration Application Evaluation Report
Week 4
  • Paper reading
  • Existing RLHF and RLAIF exploring
  • Red-teaming dataset exploring
Week 5
  • Familiarizing with Dromedary, SALMON, Llama base models.
Week 6
  • Evaluation of different base models.
  • Choice of using Llama 2 model as our baseline.
Week 7
  • Red teaming dataset exploration.
  • Reading about ethical theories.
Week 8
  • ETHICS dataset discovering.
Week 9
  • ETHICS dataset formatting for Llama fine-tuning and evaluation.
Week 10 Mid-term Presentation & Start to write the Wikipedia page with the plan
Week 11
Week 12
Week 13
Week 14 Write the Wikipedia page & Final presentation

Milestone 1

  • Read papers and define potential directions for our project.

Milestone 2

  • Understand different ethical theories.
  • Fine-tune supervised model

Milestone 3

  • Model Evaluation
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