https://github.com/humansignal/label-studio-examples

Example Code to Supplement the Label Studio Blog
https://github.com/humansignal/label-studio-examples

Last synced: 4 months ago
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Example Code to Supplement the Label Studio Blog

• Host: GitHub
• URL: https://github.com/humansignal/label-studio-examples
• Owner: HumanSignal
• License: apache-2.0
• Created: 2023-08-14T01:17:57.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2025-12-12T14:30:27.000Z (6 months ago)
• Last Synced: 2025-12-14T05:35:00.712Z (6 months ago)
• Language: Jupyter Notebook
• Size: 6.72 MB
• Stars: 30
• Watchers: 5
• Forks: 18
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Label Studio Examples

Example Code to Supplement the Label Studio Blog

## Contents

1. [OpenAI Fine-Tuning Example](./openai-fine-tuning)

   - Demonstrates fine-tuning an OpenAI model using a custom dataset about hurricanes.

2. [Fine-tuning Llama 3 for Medical Q&A](./fine-tuning)

   - Guides users through fine-tuning Llama 3 for medical question-answering using Label Studio.

   - [Blog post: Fine-Tuning Llama 3: Enhancing Accuracy in Medical Q&A With LLMs](https://labelstud.io/blog/fine-tuning-llama-3-enhancing-accuracy-in-medical-q-and-a-with-llms/)

3. [OpenAI Structured Outputs with Label Studio](./structured-outputs)

   - Showcases using OpenAI's Structured Outputs feature with Label Studio for tasks like summarization, text classification, and named entity recognition.

   - [Blog post: OpenAI Structured Outputs with Label Studio](https://labelstud.io/blog/openai-structured-outputs-with-label-studio/)

4. [Question-Answering System](./question-answering-system)

   - Provides example code to build a QA bot from expert information using Label Studio and foundation models.

   - [Blog post: From Foundation Models to Fine-Tuned Applications Using Label Studio](https://labelstud.io/blog/from-foundation-models-to-fine-tuned-applications-using-label-studio/)

5. [Chatbot Prompter Workflow](./chatbot-prompter)

   - Demonstrates setting up a comprehensive workflow for classifying customer support requests using an LLM prompter in Label Studio.

   - [Blog post: Automate Data Labeling with LLMs and Prompt Interface](https://labelstud.io/blog/automate-data-labeling-with-llms-and-prompt-interface/)

## Contributing

Are you a data scientist, data engineer, or otherwise deeply involved in AI and

machine learning? Do you keep track of new developments in the AI/ML space?

Have you used Label Studio? Do you want to share your knowledge and contribute

to the community? If you answered yes to any of these questions, we'd love for

you to contribute content to the Label Studio community.

Reach out to us at [community@labelstud.io](email:community@labelstud.io) or in

the `#contributors` channel in the [Label Studio Community

Slack](https://slack.labelstudio.heartex.com/?source=github).