- Led the fine-tuning of Google’s GEMMA for natural language understanding, improving model accuracy by 15%.Utilized TensorFlow and Hugging Face Transformers for model optimization and deployment.
- Reduced training time by 25% through efficient data preprocessing and augmentation techniques.Collaborated with data scientists and software engineers to integrate the model into production, enhancing the system’s overall performance.
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Mar 15, 2024
1 min read
Lung Cancer Detection
This project focuses on harnessing the power of deep learning to detect lung cancer using cutting-edge techniques.