Dimensions of Thought: A Smarter Way to Evaluate AI
📖 Summary
This post introduces a multidimensional reward modeling pipeline built on top of the CO_AI framework. It covers:
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✅ Structured Evaluation Setup How to define custom evaluation dimensions using YAML or database-backed rubrics.
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🧠Automated Scoring with LLMs Using the
ScoreEvaluatorto produce structured, rationale-backed scores for each dimension. -
🧮 Embedding-Based Hypothesis Indexing Efficiently embedding hypotheses and comparing them for contrastive learning using similarity.
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🔄 Contrast Pair Generation Creating training pairs where one hypothesis outperforms another on a given dimension.