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11 changes: 11 additions & 0 deletions topics/gptmed/index.md
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created_by: Sanjog Sigdel
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Copilot AI Jan 13, 2026

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The created_by field should contain the names of the people or organizations who authored the topic, not the contributor's own name. This field is meant for attributing well-known creators of established technologies (e.g., "Jordan Walke" for React, "OpenAI" for ChatGPT). For new or personal projects, this field should typically be omitted.

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created_by: Sanjog Sigdel

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display_name: gptmed
github_url: https://github.com/sigdelsanjog/gptmed
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The github_url field should point to the official GitHub organization or repository for the topic itself, not the creator's personal repository. This field is typically used for well-established projects with their own official GitHub presence. For a personal project or package, this field should be omitted unless the project has its own dedicated organization or is the official repository for the topic.

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github_url: https://github.com/sigdelsanjog/gptmed

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released: January 10, 2026
short_description: A lightweight GPT-based language model framework for training custom question-answering models on any domain
topic: gptmed
url: https://pypi.org/project/gptmed/
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A lightweight GPT-based language model framework for training custom question-answering models on any domain. This package provides a transformer-based GPT architecture that you can train on your own Q&A datasets - whether it's casual conversations, technical support, education, or any other domain.
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This appears to be self-promotion. According to the contributing guidelines referenced in the PR description, contributions should not be self-promotion. The creator is listed as "Sanjog Sigdel" and the github_url points to a repository owned by "sigdelsanjog", suggesting this is the same person submitting their own project. Topic pages are intended for widely-adopted technologies, frameworks, or concepts used by the broader community, not for promoting individual projects or packages.

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created_by: Sanjog Sigdel
display_name: gptmed
github_url: https://github.com/sigdelsanjog/gptmed
released: January 10, 2026
short_description: A lightweight GPT-based language model framework for training custom question-answering models on any domain
topic: gptmed
url: https://pypi.org/project/gptmed/
---
A lightweight GPT-based language model framework for training custom question-answering models on any domain. This package provides a transformer-based GPT architecture that you can train on your own Q&A datasets - whether it's casual conversations, technical support, education, or any other domain.
created_by: GitHub community
display_name: gptmed
github_url: https://github.com/topics/gpt
released: January 10, 2026
short_description: GPT-based techniques for building domain-specific medical question-answering systems
topic: gptmed
url: https://en.wikipedia.org/wiki/Question_answering
---
GPT-based medical question-answering (often abbreviated as "gptmed") refers to applying transformer-based GPT architectures to build and fine-tune domain-specific Q&A models for healthcare and related fields, enabling use cases such as clinical decision support, patient education, and medical documentation assistance.

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