Quantifying prompt quality using information theory: entropy and mutual information analysis of 1,800 LLM generations
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Updated
Nov 20, 2025 - Jupyter Notebook
Quantifying prompt quality using information theory: entropy and mutual information analysis of 1,800 LLM generations
An RL environment where an LLM agent learns to curate talking-head video clips for AV LoRA training. No labels exposed, rewards only.
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📊 Explore how Shannon entropy and mutual information can quantify prompt quality in generative AI systems across various temperature settings.
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