Together AI advises testing models on own workloads over public leaderboards
Overview
Together AI says public benchmarks are useful for building a shortlist of models, but teams should decide what to ship by replaying the workloads they serve and running their own evals.
The company advises using leaderboards to narrow the field and live traffic to make the final choice.
Written by AI from the articles below · updated Nov 9, 4:15 PM ET
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Together AI@togethercomputeOfficialTogether AI says to test models on your own workloads, not leaderboards aloneAITogether AI says public benchmarks help build a model shortlist, but the real test is replaying the workloads you serve and checking which models pass your own evals. It advises using leaderboards to shortlist and live traffic to decide what to ship.

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