General prompt Evaluation
This project is an A/B test to figure out which response is a better direction for their model to follow.
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I bring a unique blend of architectural precision and advanced AI evaluation experience to the role of an AI Trainer. With a background in research and data analysis within the architecture and engineering sectors, I have developed a meticulous eye for detail and an uncompromising commitment to accuracy—qualities that are vital for high-quality data annotation and RLHF. My expertise is highlighted by my one-year tenure at Outlier AI, where I evaluated complex model responses. My ability to analyze nuances and maintain high standards of reliability led to my selection for a competitive Auditor position, a role reserved for the top tier of contributors. In this capacity, I was responsible for overseeing data quality and providing critical feedback to ensure the integrity of the training sets.
This project is an A/B test to figure out which response is a better direction for their model to follow.
This project is checking audio prompts that range from 5-30 seconds to make it natural sounding.
Master of Engineering, Architecture and Architectural Engineering
Bachelor of Engineering, Engineering
Lecturer
Program Director