SLM Fine-Tuning & Mobile Deployment (In Progress): Manual Q&A Labeler and Model Evaluator
TextFine Tuning
I led the fine-tuning of a Small Language Model (SLM) on specialized protocol datasets, focusing on enhancing model comprehension through targeted labeling. My work included executing manual labeling of question and answer pairs, ensuring high data quality and relevance for offline deployment. I thoroughly tested model accuracy post-labeling, optimizing for lightweight integration in edge environments.
• Performed meticulous manual Q&A pair labeling for SLM datasets.
• Validated and iteratively improved data quality for model fine-tuning.
• Conducted evaluation sessions to assess post-labeling performance.
• Developed strategies for efficient offline deployment of refined AI models.
I led the fine-tuning of a Small Language Model (SLM) on specialized protocol datasets, focusing on enhancing model comprehension through targeted labeling. My work included executing manual labeling of question and answer pairs, ensuring high data quality and relevance for offline deployment. I thoroughly tested model accuracy post-labeling, optimizing for lightweight integration in edge environments. • Performed meticulous manual Q&A pair labeling for SLM datasets. • Validated and iteratively improved data quality for model fine-tuning. • Conducted evaluation sessions to assess post-labeling performance. • Developed strategies for efficient offline deployment of refined AI models.
2025 - Present