A Concurrent Programming Framework for Quantitative Evaluation of Effectivity Points When Serving A number of Lengthy-Context Requests Below Restricted GPU Excessive-Bandwidth Reminiscence (HBM) Regime
Massive language fashions (LLMs) have gained important capabilities, reaching GPT-4 stage efficiency. Nevertheless, deploying these fashions for purposes requiring intensive context, akin to repository-level coding and hour-long video understanding, poses substantial challenges. These duties demand enter contexts starting from 100K to 10M tokens, a big leap from the usual 4K token restrict. Researchers are grappling…