3 docs tagged with "Large Language Models (LLM)"

This recipe demonstrates the procedural orchestration of three different targeted applications of LLM technology using an LLM "master router". Designed in a chat-bot context, executing this recipe grants the business user a framework for a comprehensive automated support solution using Conscia, with opportunities for capability expansion and levers available for tuning and manipulation. While a human customer service agent is superior at responding to a customer's mood and responding appropriately, LLM-based interfaces can still lean in that direction; the more comprehensively they do so, the fewer support requests need to be served by a human agent.

This recipe demonstrates the manual orchestration of three different LLM product recommendation models. Executing this recipe grants the business user the decision-making power to determine in which circumstances each recommendation model should be used.

A lightweight, task-specific microservice can extend the capabilities of Conscia's low-code platform tremendously, and allow for a streamlined and clear business user experience despite complex programmed functions being executed in the workflow. This recipe demonstrates one such microservice.