Outlier
OtherImageText GenerationObject Detection
The Aether project focused on improving large language model performance through high quality human feedback and carefully curated training data. The work involved reviewing model outputs, identifying inaccuracies or unsafe responses, and providing structured labels or corrections based on detailed guidelines. A strong emphasis was placed on consistency, accuracy, and reasoning, especially when handling edge cases or ambiguous content. The goal of the project was to help models become more reliable, helpful, and aligned with real world expectations.
The Aether project focused on improving large language model performance through high quality human feedback and carefully curated training data. The work involved reviewing model outputs, identifying inaccuracies or unsafe responses, and providing structured labels or corrections based on detailed guidelines. A strong emphasis was placed on consistency, accuracy, and reasoning, especially when handling edge cases or ambiguous content. The goal of the project was to help models become more reliable, helpful, and aligned with real world expectations.
2025 - 2025