Devember- Large Language Models - Improving AI through Game Theory

I’m trying to set up several Llm Ai models Hosted in the same environment.
The goal is to set up collaborative LLMs as a team with the objective to provide high availability, correct answers in the chat bot when prompted, able to intuitively direct inquiries by user pattern recognition with a 1:1 user interface. (Query searches, answer prompts processing and prompting funneled through high fidelity user interface.)
Game theory design to come a Little Bit after framework of hands on sandbox configured.
Idea would be to
I) Configure Multi-Model environment that is queriable in background
II) Looking to configure High fidelity UI Model 1:1 that can queue background for high availablity and data.
III) use that to create the narrative voice as an AI to develop game theory bounty offerings.

Can you help me configure the initial config of the Linode server environment?

This sounds like a cool project. I think we’ll need to work through implementation details before we worry about hardware though.

Is there something specific you need? I’d be happy to lend advice here and there, but I’m not terribly well-versed in LLM stuff.