Devember- Large Language Models - Improving AI through Game Theory

Level1Techs L1 Servers
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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?

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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.

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Just trying to do something for devember that is both useful and entertaining- actually looking to work on rapid prototype dev for games and thought that having AI LLM for NPCs- That way they can have a default response and we can twerk personality types- Looking At Having a smooth UI to switch seamlessly between Game Dev and Real Time Test/Play through.

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You might want to look into frameworks (for example AG2 and langflow) that support agentic workflows. If the frameworks don’t support your use case, you can create one based on the existing

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I am looking to design a Deepseek interface engine running on a remote hosted instance.

The Basic Concept is:

Game Interface-> Deepseek AI-> Query Database

I’m not sure if Deepseek can act as its own interface engine or if I would need to put it in a shell.

Let me know what you think.

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are you looking for the llm to write a database query?