Label Studio Examples

Example Code to Supplement the Label Studio Blog

Contents

1. OpenAI Fine-Tuning Example

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

2. Fine-tuning Llama 3 for Medical Q&A

   • 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

3. OpenAI Structured Outputs with Label Studio

   • 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

4. 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

5. Chatbot Prompter Workflow

   • 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

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 or in the #contributors channel in the Label Studio Community Slack.