Prompt researcher and Annotator, JKUAT Department of Statistics
OtherTextPrompt Response Writing SFT
As a prompt researcher and annotator at JKUAT, I worked on preparing, testing, and tuning prompts for large language models (LLMs) aimed at improving undergraduate student learning. I tagged and labeled diverse raw text and audio datasets, ensuring precise and consistent annotations for prompt-based AI development. My responsibilities included studying the influence of phrasing and context on LLM behavior, and ensuring high-quality data for model tuning. • Engaged in prompt design, annotation, and prompt response evaluation for LLMs
• Tagged and labeled both text and audio for training and evaluation
• Ensured QC and consistency for all annotated data sets
• Collaborated closely with the Department of Statistics and Actuarial Science
As a prompt researcher and annotator at JKUAT, I worked on preparing, testing, and tuning prompts for large language models (LLMs) aimed at improving undergraduate student learning. I tagged and labeled diverse raw text and audio datasets, ensuring precise and consistent annotations for prompt-based AI development. My responsibilities included studying the influence of phrasing and context on LLM behavior, and ensuring high-quality data for model tuning. • Engaged in prompt design, annotation, and prompt response evaluation for LLMs • Tagged and labeled both text and audio for training and evaluation • Ensured QC and consistency for all annotated data sets • Collaborated closely with the Department of Statistics and Actuarial Science
2022 - 2024