Generating contextually grounded recommendations using a large language model

A computing system comprising:

• a memory component;
• and
• a processing device coupled to the memory component, the processing device to perform operations comprising:
• transforming domain specific data into a labeled, natural language description of the domain specific data for a simulation;
• providing the labeled, natural language description and a classification task prompt with interaction history to a large language model (LLM) to generate a contextually enhanced LLM configured to produce context-aware output;
• and
• outputting, using the contextually enhanced LLM, an interactive list of scored actions corresponding to the simulation.

A non-transitory computer-readable medium storing executable instructions, which when executed by a processing device, cause the processing device to perform operations comprising:

• receiving domain specific data for a simulation;
• transforming the domain specific data into a labeled, natural language description of the domain specific data for the simulation;
• a step for producing a contextually enhanced large language model (LLM) configured to produce context-aware output using the labeled, natural language description;
• and
• outputting, using the contextually enhanced LLM, an interactive list of scored actions corresponding to the simulation.