Entropixplained

Concatenate & Linear Transform Output 0.7 0.2 0.5 0.6 0.1 0.8 Input Token 1 Output Token 1 Output Token 2 Input Token 2 Input Token 3 Language Model Logits Attention Scores Metric Calculator Adaptive Sampler Sampling Strategies Next Token KV-Cache Low E, Low V High E, Low V Low E, High V High E, High V Moderate Values Calculate Metrics Evaluate Entropy and Varentropy Greedy Sampling Clarification Insertion Exploration Sampling High Uncertainty Sampling Adaptive Sampling Generate Token Yes No Calculate entropy and varentropy entropy < 0.1 AND varentropy < 0.1? Select token with highest probability Use other sampling techniques Logits Uncertainty Temperature Attention Uncertainty Agreement Final Temperature

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