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Guest Spotlight: Pedro Tabacof

Pedro Tabacof, Principal Machine Learning Scientist at Fin
Pedro Tabacof
Fin | Data Scientist

About Pedro Tabacof

Pedro Tabacof is Principal Machine Learning Scientist at Fin, formerly Intercom, where he has spent three years running the experiments behind one of the world's most advanced AI customer support agents. He focuses on A/B testing non-deterministic AI at scale, pulling millions of samples in days to turn surprising results into shipped improvements users can trust.

Notable Quotes

"Unit tests, like traditional software unit tests don't work with AI."

"Whenever we have any kind of like question dilemma, we just put it to the test. We just run an A/B test."

"This is so counterintuitive that my manager forced me to run a confirmatory experiment, check the data, make sure that there's no sort of a selection bias."

"AI development is inherently very uncertain very experimental, because you never know how much ground you have covered."

"Decision-making is always gonna remain fundamental, and decision-making can only essentially be done through experiments."

How Fin does 1,000,000 A/B Tests in 24 Hours with Pedro Tabacof
Pedro Tabacof
Fin | Principal Machine Learning Scientist

How Fin does 1,000,000 A/B Tests in 24 Hours

Go to S1 | E28

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Takeaways

All Takeaways

Fin A/B tests everything, even one-character prompt changes, and treats a 20 to 30 percent win rate as a sign of a healthy program.

Go to S1 | E28

A losing experiment is often a winner with one broken part. Diagnose which element hurts the experience, fix only that, and rerun.

Go to S1 | E28

More conversation history made Fin more helpful and more prone to fake promises, until a targeted prompt fix removed the hallucinations.

Go to S1 | E28

You cannot unit test a non-deterministic AI. A/B testing at scale, millions of samples in days, is the only reliable way to know a change helped.

Go to S1 | E28

Faster is not always better. Fin raised latency artificially and positive feedback went up, likely because a small delay makes an AI feel like real work.

Go to S1 | E28
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