Global 5 Spice is a project aimed at fine-tuning OpenAI's GPT model, specifically the Large Language Model (LLM), using data sourced from government Frequently Asked Questions (FAQs). By fine-tuning the model with factual information from official government sources, Global 5 Spice aims to enhance the model's ability to generate accurate and informative responses to user queries related to government policies, services, and procedures.
- Factual Understanding: Global 5 Spice is trained on data from government FAQs, enabling it to better understand and generate factual responses to user questions.
- Specific Domain Knowledge: The fine-tuning process focuses on a specific domain—government information—allowing the model to specialize in providing accurate answers within this domain.
- Improved Accuracy: By fine-tuning on relevant data, Global 5 Spice improves the accuracy and reliability of responses compared to generic language models.
- Customizable: Developers can further fine-tune the model or adjust parameters to better suit their specific use cases and requirements.
To get started with Global 5 Spice, follow these steps:
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Clone the Repository: Clone the Global 5 Spice repository to your local machine using the following command: git clone https://github.com/GauranshMathur/Global-5-Spice.git
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Prepare Data: Gather government FAQs from relevant sources and preprocess the data to ensure compatibility with the fine-tuning process. Organize the FAQs into a suitable format for training.
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Fine-Tune the Model: Use the provided scripts or tools to fine-tune the GPT model on the collected government FAQ data. Adjust hyperparameters as needed to optimize performance.
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Evaluate Performance: Evaluate the fine-tuned model's performance using appropriate metrics and validation datasets. Ensure that the model generates accurate and informative responses to user queries.
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Deploy and Integrate: Deploy the fine-tuned model to your preferred hosting environment and integrate it into your application or platform. Test the integration thoroughly to ensure seamless functionality.