LLM Trainee
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Prompt + Response Writing (SFT)During my internship, I worked on Video Color Picker projects where I analyzed video content and validated color-related data to ensure accuracy and consistency. This involved carefully reviewing visual elements, identifying color variations across frames, and contributing to the creation of high-quality datasets used for AI model training and evaluation. The project enhanced my attention to detail and strengthened my ability to work with visual data at scale. I also contributed to Text-to-Image Comparison tasks, where I evaluated whether AI-generated images accurately reflected the meaning, context, and intent of given text prompts. By assessing image quality, relevance, and alignment with textual descriptions, I helped improve the performance and reliability of multimodal AI systems. This experience deepened my understanding of generative AI models and human-centered evaluation processes. Additionally, I worked on UD Perception Captioning projects, creating and reviewing detailed captions for images and videos to improve AI perception and understanding. My responsibilities included identifying key objects, actions, emotions, and contextual details to produce accurate and informative descriptions. Through this work, I gained valuable experience in data annotation, quality assurance, and the development of training datasets that support advanced AI and machine learning applications.