Overview
Instruction-tuned large language model for outage explanations, tariff guidance, and field knowledge retrieval.
llmcustomerrag
Confidence
84%
Blended from documentation depth, benchmark presence, and cross-source corroboration.
Significance score: 82/100
Source metadata
- Primary source
- Hugging Face
- Last updated
- 2026-04-27
- Domain
- Generative AI
Maturity assessment
Experimental
Assessment combines release cadence, maintainer responsiveness, and sector-specific adoption proxies.
AI-generated summary
Instruction-tuned large language model for outage explanations, tariff guidance, and field knowledge retrieval.
Utility relevance reasoning
Potential for secure customer self-service when paired with Mobiloitte-approved retrieval and policy guardrails.
Related technologies
- RenewableTwin AI
Generative AI
- CustomerAssist LLM
Natural Language Processing
- UtilityChurn Sentinel
Predictive Analytics
Lineage references
Lineage Map- Upstream paper references linked in model card.
- Dataset manifests registered for reproducibility.
Source citations
- UtilityGPT README — installation, data expectations, and evaluation metrics.
- Model documentation — hyperparameters and reproducibility notes.
- Mobiloitte internal rubric MOBILOITTE-AIR-UR-02 — utility relevance scoring dimensions.
Timeline of changes
- 2026-05-02Maturity reassessed from Emerging → Growth based on adoption signals.
- 2026-04-18Utility relevance mapping refreshed for smart grid sector weighting.