LLM Evaluator – Project Babel
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Evaluated prompts and responses generated by Large Language Models (LLMs) to refine AI reasoning and dialog ability. Provided in-depth feedback on answer coherence, logic, and style, contributing to ongoing LLM refinement. Assisted with fine-tuning model output to align responses with human intent and ethical standards. • Analyzed prompt-response pairs for accuracy
• Documented errors and edge cases
• Suggested improvements for dataset coverage
• Supported the development of best practices for LLM evaluation
Evaluated prompts and responses generated by Large Language Models (LLMs) to refine AI reasoning and dialog ability. Provided in-depth feedback on answer coherence, logic, and style, contributing to ongoing LLM refinement. Assisted with fine-tuning model output to align responses with human intent and ethical standards. • Analyzed prompt-response pairs for accuracy • Documented errors and edge cases • Suggested improvements for dataset coverage • Supported the development of best practices for LLM evaluation
2021 - Present