LLM-Culture provides a structured approach to embed organizational culture into large language model interactions. You start by defining your brand’s values and style rules in a simple configuration file. The framework then offers a library of prompt templates designed to enforce these guidelines. After generating outputs, the built-in evaluation toolkit measures alignment against your cultural criteria and highlights any inconsistencies. Finally, you deploy the framework alongside your LLM pipeline—whether via API or on-premise—so that each response consistently adheres to your company’s tone, ethics, and brand personality.
LLM-Culture Core Features
Cultural guideline configuration (YAML/JSON)
Reusable prompt template library
Output evaluation against brand rules
Integration modules for OpenAI, Azure, and self-hosted LLMs
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