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SeekGPT Request for Comment (SRC)

SeekGPT Request for Comment (SRC) Process

1. Introduction

The SeekGPT Request for Comment (SRC) process is designed to facilitate the incorporation of significant research findings and valuable contributions into the SeekGPT models. It serves as a formal mechanism for researchers to propose and document impactful advancements that can enhance the capabilities and scope of SeekGPT.

2. Purpose

  • To provide a structured platform for researchers to propose significant research findings.
  • To ensure that valuable contributions are thoroughly evaluated and considered for inclusion in SeekGPT models.
  • To foster transparency and collaboration in the development of SeekGPT.
  • To maintain a record of research advancements that have influenced SeekGPT.

3. Scope

The SRC process is applicable to research findings that:

  • Significantly improve the performance, efficiency, or capabilities of SeekGPT models.
  • Introduce novel algorithms, architectures, or techniques relevant to SeekGPT.
  • Address critical challenges or limitations in existing SeekGPT models.
  • Contribute to the ethical and responsible development of AI.
  • Expand the multilingual capabilities of SeekGPT.
  • Provide significant new data, or methods of data curation.

4. SRC Process

  • Proposal Submission:
    • Researchers submit a detailed SRC document outlining their research findings, methodology, and proposed impact on SeekGPT.
    • The SRC document should adhere to a predefined template (see Section 5).
    • Submissions are made through the SeekGPT GitHub repository or a designated online platform.
  • Initial Review:
    • The SeekGPT core team conducts an initial review to ensure the SRC document is complete and meets the scope criteria.
    • Incomplete or out-of-scope SRCs may be rejected or returned for revision.
  • Public Comment Period:
    • Accepted SRCs are made publicly available for review and comment by the SeekGPT community.
    • A designated period (e.g., 2-4 weeks) is provided for community members to provide feedback, ask questions, and suggest improvements.
    • The community discussions will take place on the relevant github issue, or forum post.
  • Technical Evaluation:
    • The SeekGPT core team, along with relevant domain experts, conducts a technical evaluation of the SRC.
    • The evaluation considers the research methodology, experimental results, and potential impact on SeekGPT.
    • This may include red teaming, and other safety evaluations.
  • Decision and Implementation:
    • Based on the technical evaluation and community feedback, the SeekGPT core team makes a decision on whether to accept or reject the SRC.
    • Accepted SRCs are prioritized for implementation into SeekGPT models.
    • The implementation process may involve collaboration between the original researchers and the SeekGPT development team.
    • The SRC is then added to the official documentation.
  • Documentation:
    • Accepted SRCs are documented in the SeekGPT repository, including the research findings, implementation details, and impact on the model.

5. SRC Document Template

  • Title: A concise and descriptive title.
  • Authors: Names and affiliations of the researchers.
  • Abstract: A brief summary of the research findings and their potential impact.
  • Introduction: Background information and motivation for the research.
  • Methodology: Detailed description of the research methodology, including data, algorithms, and experimental setup.
  • Results: Presentation of experimental results and analysis.
  • Impact on SeekGPT: Explanation of how the research findings can be incorporated into SeekGPT models and their potential benefits.
  • Ethical Considerations: Discussion of any ethical implications of the research and proposed solutions.
  • References: List of relevant publications and resources.

6. Community Engagement

  • Encourage active participation in the public comment period.
  • Provide constructive feedback and suggestions for improvement.
  • Respect diverse opinions and perspectives.