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SkalskiP avatar

SkalskiP/SoM

0
View on GitHub↗
87 stars·6 forks·Jupyter Notebook·9 views

SoM

Unofficial implementation and experiments related to Set-of-Mark (SoM) 👁️

Features

  • Foundational AI References - Techniques for Set of Mark prompting in vision models.

Star history

Star history chart for skalskip/somStar history chart for skalskip/som

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with SoM

These projects share indexed features with SoM. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • datawhalechina/dopmcdatawhalechina avatar

    datawhalechina/DOPMC

    262View on GitHub↗

    Datawhale 开源项目管理委员会(Datawhale Open-source Project Management Committee,简称DOPMC)

    Python
    View on GitHub↗262
  • en/get-startedE

    en/get-started

    0View on GitHub↗
    View on GitHub↗0
  • jushbjj/mr.-ranedeer-ai-tutorJushBJJ avatar

    JushBJJ/Mr.-Ranedeer-AI-Tutor

    29,599View on GitHub↗

    Mr. Ranedeer AI Tutor is an AI education framework and system prompt designed to transform a large language model into a personalized tutor. It uses a structured set of instructions to organize educational content into sequential modules and knowledge assessments for adaptive learning. The system features a persona template that allows for the adjustment of academic depth and communication tone to match a student's specific needs. It also provides multilingual support, enabling the tutor to switch instruction and output languages based on user preferences. The framework covers custom lesson

    aieducationgpt-4
    View on GitHub↗29,599
  • linshenkx/prompt-optimizerlinshenkx avatar

    linshenkx/prompt-optimizer

    30,927View on GitHub↗

    Prompt Optimizer is a framework designed for the iterative refinement and testing of text-based instructions for large language models. It functions as an automated evaluation pipeline that systematically adjusts prompt structure, constraints, and clarity to improve the accuracy and consistency of model outputs. The system distinguishes itself through a model-agnostic interface that standardizes communication across different artificial intelligence providers. It incorporates a versioned asset management system to track prompt history, enabling developers to maintain consistency and perform r

    TypeScriptllmpromptprompt-engineering
    View on GitHub↗30,927
Compare all 8 related projects→

Frequently asked questions

What does skalskip/som do?

Unofficial implementation and experiments related to Set-of-Mark (SoM) 👁️

What are the main features of skalskip/som?

The main features of skalskip/som are: Foundational AI References.

Which projects share features with skalskip/som?

Projects with overlapping indexed features include: datawhalechina/dopmc — Datawhale 开源项目管理委员会(Datawhale Open-source Project Management Committee,简称DOPMC). en/get-started. jushbjj/mr.-ranedeer-ai-tutor — Mr. Ranedeer AI Tutor is an AI education framework and system prompt designed to transform a large language model into… linshenkx/prompt-optimizer — Prompt Optimizer is a framework designed for the iterative refinement and testing of text-based instructions for large… rryuliu/securitygpt. significant-gravitas/auto-gpt — Auto-GPT is an autonomous agent framework that uses large language models to decompose complex goals and execute…