Forol

Research Alignment

Model Safety & Alignment Standards

Technical guardrails, data minimization policies, and clinical evaluation safety protocols applied to Forol-v1-Research.

Browse Guardrail Principles Open Evaluation Log

Core Principles

Alignment Vectors for Sovereign Systems

How we optimize weights checkpoints to ensure patient safety and agricultural advisory stability.

Capabilities

Honest Limitations

We document parameter sizes and context bounds clearly. Suggestion chips indicate the specific regional contexts where Forol-v1-Research operates safely.

Minimization

Data Minimization

Our open web playground processes inputs transiently. We do not store, compile, or utilize prompt content for commercial profiling or advertising models.

Calibration

Colloquial Calibration

Translations for rural healthcare clinics are calibrated for dialect understanding, ensuring patients receive clear instruction logs, free from academic jargon.

Guardrail Oversight

Operational Governance Log

Our research follows structured review filters. Before model checkpoints are finalized, we perform adversarial evaluation tests.

Pre-Release Safety Evaluation

  • Dialect Accuracy Audit: Evaluation of translated instructions against regional clinic manuals.
  • Agricultural Advice Limits: Verifying crop sow recommendations align with verified soil-water parameters.
  • Tokenizer Vocabulary Check: Preventing bias parameters in low-resource sub-dialects.

Feedback Reporting

Researchers can submit reports, bias indicators, or weights vulnerabilities directly to our team via safety@forol.in.

FAQ

Policy Inquiries

Are active playground prompts stored?

No. The live simulated chat play area on the homepage processes text within browser memory, triggering structured responses from local variables to guarantee absolute user privacy.

What is clinical translation alignment?

This refers to optimizing vocabulary mapping inside regional Marathi token arrays. The model is specifically fine-tuned to prefer patient-clear, dialect-appropriate words over dry literal translations.

Why focus strictly on low-parameter models?

Low-parameter models (such as Forol-v1-Research at 1.1B parameters) can run efficiently in low-compute setups, democratizing scientific tools for local organizations without forcing remote API subscriptions.