this post was submitted on 30 Oct 2023
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LocalLLaMA

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Community to discuss about Llama, the family of large language models created by Meta AI.

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Can't say I've seen any post discussing game dev with LLM + grammar, so here I go.

Grammar makes the LLM response parsable by code. You can easily construct a json template that all responses from the LLM must abide to.

On a per character basis during RP, the following grammar properties are useful:

  • emotion (I had a list of available emotion in my grammar file)
  • affectionChange (describe immediate character reaction to user's word and actions. Useful for visual novel immersion and progressionmanipulation)
  • location (LLM is good at tracking whereabout and movement.)
  • isDoingXXX (LLM is capable of detecting start and end of activities)
  • typeOfXXX (LLM also know what the activity is, for example if the character is cooking, then a property called "whatIsCooking" will show eggs and hams)

I'm building a Renpy game using the above, and the prototype is successful, LLM can indeed meaningfully interact with the game world, and acts as more of a director than some text gen engine. I would assume that a D&D game can be built with a grammar file with some properties such as "EnemyList", "Stats", etc.

For my usage, 7b Mistral or 13b are already giving sensible/accurate results. Oobabooga allows grammar usage with exllamaHF (and AWQ but haven't tried).

How is everyone using grammar to integrate LLM as a functional component of your software? Any tips and tricks?

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We used a similar system in our project here,we had the llm also identify which location on the map the actions should be done at. https://youtu.be/e2UGwXpu_zc?si=hrV0Vnq7C-9BZ42i