Image to Text
The aim of this Outlier project was to test the model's ability to read images correctly in different categories: reasoning, counting, creative writing, scene understanding, infographics, patterns and extracting data. I created prompts that asked a specific question about the image chosen, followed by testing the model on the client's platform. The model created two responses to answer the prompt, which I labeled by scoring how well it followed the system instructions and the overall truthfulness and helpfulness of each one. I also wrote a detailed justification for each response to explain the scores given. (I worked on this project from November 2024 until March 2025 and was promoted to Reviewer after a month.)