Active Learning Handoff

Canonical URL: https://babadook.tech/sub-modules/maxacor-active-learning
Entity: sub-modules
Content hash: a660206fd0d72c4423382469b6210656e11ce31b9a727fae3cd345afd9f60f2e

Turn reviewed errors and edge cases into governed learning evidence.

A false rejection is corrected by quality and packaged with the original data, model and review outcome. Training receives useful evidence without silently changing the live model.

What changes

A false rejection is corrected by quality and packaged with the original data, model and review outcome. Training receives useful evidence without silently changing the live model.

data Viz

data View

section: operating-scene

Operational boundary

- What it does: Turn reviewed errors and edge cases into governed learning evidence.
- What the team gains: Training receives useful evidence without silently changing the live model.
- What it does not own: MAXACOR does not train or promote models.
- section: operational-boundary

Active Learning Handoff

action: Turn reviewed errors and edge cases into governed learning evidence.

mechanism: A false rejection is corrected by quality and packaged with the original data, model and review outcome.

workflow role: A false rejection is corrected by quality and packaged with the original data, model and review outcome.

operational outcome: Training receives useful evidence without silently changing the live model.

maturity: specified

evidence: MAXACOR Part 7, §§4–9.

Section 1

Operations team

Section 2

Engineering team

Section 1

Qualified physical state

Section 2

Current work context

Section 1

Evidence-bearing operational disposition

Section 1

MAXACOR does not train or promote models.

Relationships

products

- MAXACOR — https://babadook.tech/products/maxacor

modules

- Embodied Intelligence and Learning — https://babadook.tech/modules/maxacor-embodied-intelligence-learning