Rensselaer polytechnic Institute
B.S., Engineering
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Highly motivated and detail-oriented individual with 1.5 years of experience in data labeling and AI training data creation. My background encompasses diverse annotation tasks across text, image, and potentially audio/video data, with a proven track record of delivering high-accuracy datasets essential for robust model training. I possess a strong understanding of data quality principles and annotation best practices, consistently exceeding quality metrics and adapting quickly to new project requirements and annotation guidelines. Crucially, I've actively integrated OpenAI's models, specifically [mention specific models like GPT-3/ChatGPT if you have experience], into my workflow, leveraging them for tasks like data augmentation, prompt engineering for improved labeling efficiency, and exploring innovative approaches to data annotation. Building on this data foundation, I've developed a keen interest and practical experience in prompt engineering. Understanding the nuances of crafting effective prompts for large language models (LLMs) like those from OpenAI has become a core skill. I've experimented with various prompting techniques – including few-shot learning, chain-of-thought, and instruction tuning – to optimize model outputs for specific tasks.
In Young B. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
B.S., Engineering
In Young B. hasn’t added any Work History to their OpenTrain profile yet.