Elliot Tuckerman

Machine Learning Engineer

DataAnnotation•  April 2024 - Present•  United States

LLM Optimization ◦ LLM Code Evaluation and Debugging: Evaluated and debugged code generated by large language models (LLMs), ensuring accuracy and functionality through rigorous testing and performance assessment. ◦ Code Replacement and Improvement: Replaced ineffective or incorrect code with optimized versions, enhancing the quality and reliability of the LLM’s outputs. ◦ Private and Testing Model Management: Handled private and in-testing models, providing feedback and improvements to support their development and transition towards public release.