Phi-3 Clinical Edition Open-Source Fine-Tuning Model - Based on clinical trial data, it boosts medical and pharmaceutical R & D.

Phi 3 Clinical

Developed by hackint0sh

Phi-3-Clinical Edition is a fine-tuned model specifically designed for researchers and developers in the biomedical field. Trained on U.S. government clinical trial datasets, it aims to provide high-quality insights to support R&D in healthcare and pharmaceutical innovation.

Large Language Model

Transformers

#Clinical trial data processing #Medical text summarization #Biomedical Q&A system

Downloads 20

Release Time : 5/6/2024

Model Overview

This model focuses on clinical diagnostics and treatment, primarily used for tasks such as text summarization and Q&A systems, serving as a key component in Retrieval-Augmented Generation (RAG) research.

Model Features

Clinical Diagnostics Fine-Tuning

Trained meticulously on U.S. government clinical trial datasets, focusing on healthcare and pharmaceutical innovation.

Component of RAG Research

As part of Retrieval-Augmented Generation (RAG) research, the model is continuously updated and optimized.

Continuous Optimization

Enhancing RAG workflow accuracy, integrating new datasets and training strategies, and continuously fine-tuning based on community feedback.

Model Capabilities

Text summarization

Q&A systems

Clinical trial data formatting

Use Cases

Healthcare

Clinical Trial Data Analysis

Used to analyze and summarize clinical trial data, providing high-quality insights.

Medical Q&A System

Building Q&A systems for the medical field to answer clinical diagnostics-related questions.

Pharmaceutical Innovation

Drug Development Support

Assisting in data analysis and information extraction during drug development.

🚀 Phi-3-Clinical

Phi-3-Clinical is a fine-tuned model tailored for medical researchers and developers in the Bio-Pharma domain. It's trained on U.S. government clinical trial datasets to offer high-quality insights and support R & D in healthcare and pharmaceutical innovation.

🚀 Quick Start

Welcome to the repository for Phi-3-Clinical. This model has been meticulously trained on clinical trial datasets from the U.S. government, aiming to empower medical researchers and developers in the Bio - Pharma domain. It can deliver high - quality insights and facilitate research and development in healthcare and pharmaceutical innovation. Currently, this model is being actively updated and improved as part of the ongoing research and work in Retrieval - Augmented Generation (RAG).

✨ Features

Fine - Tuned on: Clinical
Primary Use Case(s): [Summarization, Question Answering, etc.]
Updates in Progress:
- Optimizing for better accuracy with RAG workflows.
- Incorporating new datasets and training strategies.
- Fine - tuning with community feedback.

📅 What's Next?

The developer is actively working on:

Integrating this model into a RAG pipeline for enhanced retrieval - augmented tasks.
Regular updates to improve performance and reduce inference time.
Expanding support for [languages/domains/etc.].

Stay tuned for updates and improvements in the coming weeks!

💻 Usage Examples

Basic Usage

from transformers import pipeline

# Load the model
model = pipeline("task_name", model="hackint0sh/phi-3-clinical")

# Example usage
input_text = "Your input here"
output = model(input_text)
print(output)

Replace task_name with the appropriate task (e.g., "text - classification", "question - answering", "Clinical Trial Format").

💡 Usage Tip

If you need help, the developer is here to assist. If you have any questions, suggestions, or encounter any issues while using the model, feel free to: • Open an Issue on this repository. • DM the developer directly on Hugging Face. The developer is always happy to collaborate and improve this model further based on your feedback.

🌟 Contributing

Contributions are welcome! If you have ideas for improvements or want to contribute, feel free to fork this repository and open a pull request.

📄 License

This model is released under the MIT license. See the LICENSE file for more details.

Thank you for your interest in Phi - 3 - Clinical! Your support and feedback help make this model better for everyone. ❤️

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