How to Actually Tokenmaxx and Save Millions — Alvin Pane, OutRival
Alvin Pane uses that question to frame a token optimization workflow at OutRival.
Proof1 independent outlet
Key points
- A cheaper candidate model disagrees with the production model on 18% of examples.
- Reject it immediately, or first ask how often production disagrees with itself?
- Pane starts with observability: record prompt versions, model choices, tokens, latency and costs before changing them.
- 8:46 - Human review and paired release criteria
Sources (1)
- [1]How to Actually Tokenmaxx and Save Millions — Alvin Pane, OutRivalAI Engineer (YouTube) · Oct 14, 03:00 PM
Alvin Pane uses that question to frame a token optimization workflow at OutRival.
A cheaper candidate model disagrees with the production model on 18% of examples.
Extractive summary: sentences quoted from the sources.
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