Together AI(@togethercompute):Shadow traffic proves a candidate is operationally sound. It can't tell you if users like it better. A/B testing belongs at the endpoint, not in your app code. Same endpoint name, API, and keys for your clients. No feature flags, no hash-mod-100 in client code, no spreadsheet explaining what group A vs B means. Split a live endpoint's traffic into one control and up to 20 variants, each with a fixed percentage. Ramp with a single call. Delete the experiment and 100% of traffic returns to the control, with nothing left to unwind. Read the full walkthrough:

Together AI

@togethercompute

Accelerate inference, model shaping, and pre-training on a research-optimized platform.

参加 November 2022

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Together AI@togethercompute

2026.08.18 04:37

Shadow traffic proves a candidate is operationally sound. It can't tell you if users like it better. A/B testing belongs at the endpoint, not in your app code. Same endpoint name, API, and keys for your clients. No feature flags, no hash-mod-100 in client code, no spreadsheet explaining what group A vs B means. Split a live endpoint's traffic into one control and up to 20 variants, each with a fixed percentage. Ramp with a single call. Delete the experiment and 100% of traffic returns to the control, with nothing left to unwind. Read the full walkthrough: