ALIGNEMENT • HIL • RLHF ALIGNMENT • HIL • RLHF

Alignement & Human‑in‑the‑loopAlignment & Human‑in‑the‑loop

Réduire les dérives, améliorer l’alignement à l’intention, et stabiliser les comportements via feedback humain structuré. Reduce drift, improve intent alignment, and stabilize behavior through structured human feedback.

DeliverableDeliverable

Guidelines + rubric safety + jeu de scénarios + décisions standardisées.Guidelines + safety rubric + scenario set + standardized decisions.

FocusFocus

Intent, policy compliance, refus utiles, calibration de confiance.Intent, policy compliance, helpful refusals, confidence calibration.

CadenceCadence

Short cycles + review loops + “definition of done” explicite.Short cycles + review loops + explicit definition of done.

Parler d’un besoinDiscuss a need Toutes les expertisesAll expertise

Ce qu’on aligneWhat we align

IntentionIntent

réponse fidèle à la demande.answer matches the user’s intent.

SécuritéSafety

prévenir les sorties à risque.prevent risky behavior.

UtilitéHelpfulness

réponses actionnables.actionable answers.

CalibrationCalibration

confiance = qualité réelle.confidence matches real quality.

ContactContact RetourBack

Quand c’est critiqueWhen it matters

Domaines sensibles (finance, santé, juridique).High-stakes domains (finance, health, legal).

Agents avec outils (browsing, actions).Tool-using agents (browsing, actions).

Produits orientés production (SLA).Production-grade products (SLA).

Scaling reviewersScaling reviewers

ContactContact RetourBack

FAQFAQ

Questions fréquentes — formulées comme des requêtes Google. Common questions — phrased like Google queries.

Qu’est‑ce que human-in-the-loop alignment?What is human-in-the-loop alignment?

A workflow where human feedback is structured (rubrics + guidelines) to improve model behavior and reduce unwanted drift.A workflow where human feedback is structured (rubrics + guidelines) to improve model behavior and reduce unwanted drift.

Is this RLHF?Is this RLHF?

The process can be RLHF-like: consistent feedback, preference signals, and strict reviewer guidance.The process can be RLHF-like: consistent feedback, preference signals, and strict reviewer guidance.

What do you measure?What do you measure?

Error rates, policy compliance, rubric scores, and stability across scenario variants.Error rates, policy compliance, rubric scores, and stability across scenario variants.