Project AURIONAI Use-Cases Research & Innovation

Guardrails and Safety Classifiers

Input and output moderation models.

Tier Grades

feasible

Tier A: Frontier AI labs

feasible

medium confidence

Meta and NVIDIA are observed shipping guard models.

feasible

Tier B: Indonesian AI labs

feasible

medium confidence

A 7B model tuned on a low-volume dataset is within reach for a lab that trained a 70B model.

feasible

Tier C: Institution units such as ITB

feasible

medium confidence

Tuning a 7B model on a small dataset fits academic GPUs when combined with QLoRA-type methods (topic 7).

feasible

Tier D: Organisations such as SEMAI (PoT, PoC, PoV)

feasible

medium confidence

A weeks-long 7B fine-tune on a small dataset fits proof-of-concept scale; the notes give no direct proof-of-concept anchor.

Where this comes from
Tiers: a) frontier AI labs, b) Indonesian AI labs, c) institution units such as ITB, d) organisations such as SEMAI delivering proof of technology, concept and value. Each rationale cites the anchors below.

Anchors

  • ComputeLlama Guard: Llama2-7B instruction-tuned on a low-volume dataset; compute not given.
  • DataLow-volume dataset labelled against a risk taxonomy.
  • Team size (proxy)Proxy only (author count of an exemplar paper, not a headcount): not sourced in the notes.
  • Time horizonWeeks.
  • Shelf-life signalsnot in the notes
  • Pipeline roleTier A releases guard models; Tier B and Tier C tune them to local languages and norms; Tier D puts them in front of client deployments.
Where this comes from
Team size is a proxy (author counts of exemplar papers), not a headcount.

Who and What

Exemplars
Observed actors
Linked models
+19

Papers

Where this comes from
The papers to read first: where the direction began, its current best, and a survey when one exists.

Sources

  1. NVIDIA Nemotron nvidia.com https://www.nvidia.com/en-us/ai-data-science/foundation-models/nemotron/
  2. Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations arxiv.org https://arxiv.org/abs/2312.06674

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Guardrails and Safety Classifiers", https://aurion.semai.id/topics/guardrails-and-safety-classifiers/, records of October 2026.