arXiv CS
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The Cost of Context: Profiling the Energy Footprint of Input Tokens in Large Language Models
The rapid adoption of Retrieval-Augmented Generation (RAG) and long-context LLMs has shifted the computational burden toward the prefill phase---the initial stage where the model processes all input tokens in parallel before generating a response---yet its energy impact remains poorly characterised.
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