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I suggest logging real player data such as positions, movement, quests, skills used in real time, and general actions and save them in whatever format you like. You need to organize and verify the data. If your data are not enough you can create synthetic data based on your existins real data. later you have 2 options You can fine tune a smaller model (for example, from hugging face). This requires time, money(compute power), and plenty of trial and error, but the benefit is that you can run it locally without relying on external services. Use existing LLMs and instead of training you can store your data in a vector database and let the LLM query it( im not sure if RAG is the right term here). This approach is faster to set up but depends on the model and the output you want to achieve(you will need some research there). Regardless of which approach you take you should expose only safe actions through a service or API. This can be done with MCP(model context protocol) or a custom api ensuring the model (local or external) can only trigger controlled api calls such as movePlayer, castSkill, etc etc, which are already implemented in most sources, but you will need to implement them for your models output and behavior. Doable? Yes by commiting a tone of hours. Is it worth it? If you’re doing it to learn then go for it. But if your goal is to create “real fake player” experience on your server or to sell it later its not worth it. Spend your time elsewhere -
in process upgrade Wolf and to Rose. price updated 🙂 p464 Elf - $10,000 p507 Wolf - $25,000 p520 Rose - $40,000 (complete in 2 weeks) Rental agreement - p464 Elf - $5,000 + 50% of all server revenue p507 Wolf - $10,000 + 50% of all server revenue p520 Rose - $15,000 + 65% of all server revenue -
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And what model you wanna train? LLMs can't do that. -
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