Accuracy-Efficiency Trade-off in LLM Inference
In practical applications of large language models, there is an inherent trade-off between inference accuracy and computational efficiency. Achieving the best possible output often requires computationally expensive methods, so practitioners must carefully combine various techniques to find an acceptable balance between the quality of the generated sequence and the resources, such as time and computation, required to produce it.
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Ch.5 Inference - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
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Accuracy-Efficiency Trade-off in LLM Inference
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