in-developmentApache 2.0tabularinternal

Intent Classifier.

Multilingual intent classifier for the multi-agent orchestrator. v0 = regex (live, fallback).

Foundation · DistilmBERT v1 (regex v0 fallback) (Apache 2.0)

What it does

The honest description.

Multilingual intent classifier for the multi-agent orchestrator. v0 = regex (live, fallback).

Architecture

How it works.

User message text (multi-language: EN/HI/TA/TE/UR/KN/BN/MR), message tokens, user context state. Primary agent intent (budget_guardian | bill_payment | savings_optimizer | prediction_engine | fraud_sentinel | tax_planner) + confidence 0-1 + is_low_confidence flag when below threshold.

Family

DistilmBERT v1 (regex v0 fallback)

Foundation

DistilmBERT v1 (regex v0 fallback) (Apache 2.0)

Training data & drift

What it learned from, and how we watch it.

Source

Inputs: User message text (multi-language: EN/HI/TA/TE/UR/KN/BN/MR), message tokens, user context state.

Drift baseline · current quarter

Drift baseline not yet documented for this model.

What it's NOT
  • PR #10: DistilmBERT v1 trainer wired (Apache 2.0).
  • v0 regex remains as fallback when v1 endpoint errors.
Version history · immutable once published

Every release, traceable.

v12026-05-11catalog YAML migration (stage: in-development)catalog-yaml-migration

Data Mukodi holds about you is subject to DPDP §12 erasure (use /consent in the app), and any concern about this model can be raised via [email protected] under DPDP §13 grievance, or via /security.

← Back to all models