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
Retorio leverages AI-driven Behavioral Intelligence to enhance hiring and training processes. Through automated video interviews, it examines behavioral cues like facial expressions, body language, and voice. This deep dive into personality traits helps recruiters assess candidates' job fit and cultural alignment, and provides personalized feedback for skill development. By bridging machine learning with psychology and organizational research, Retorio supports a more effective and intuitive decision-making process.