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InboxCare combines deterministic responses with adaptive capabilities and tonal creativity of the latest LLM technologies.
Deterministic responses ensure reliability and are essential for requests where hallucinations are not allowed. LLMs, on the other hand, provide empathy and tone adaptation and are ideal for interactions requiring a human touch. Combined together, they ensure replies that are both accurate and personalized.
After analyzing and categorizing the message, InboxCare generates a response based on the identified categories. For some categories, a predefined text is used, while for others, an LLM is called to enrich the response. InboxCare also automatically adds a predefined header (e.g. "Hello") and signature (e.g. "Best regards, Your Customer Service"), ensuring consistent and personalized responses to every interaction.
Each message category has a corresponding template. A template with predefined text, or a template that includes a prompt that will be sent to an LLM.
You can also define templates that you want to appear on each response (such as greetings).
💡 We use Mixtral 8x7B as the LLM for our response proposals. Mistral is a French company based in Paris and regulated by the European AI Act.