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authorMitja Felicijan <mitja.felicijan@gmail.com>2026-02-20 14:13:15 +0100
committerGitHub <noreply@github.com>2026-02-20 14:13:15 +0100
commit809f5def0c3a49c10d41a8e2165192fe5fa938da (patch)
tree146eb1f600eebba65545f58aae244a4982db294f /README.md
parent98af38c5a3e00d0843677bd044203b7a91172134 (diff)
downloadllmnpc-809f5def0c3a49c10d41a8e2165192fe5fa938da.tar.gz
Enhance README with project details and usageHEADmaster
Expanded project description to include embedding models, vector database creation, and local inference details.
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An experiment using tiny LLMs as NPCs that could be embedded into the game.
+Embed models into the game, build a simple vector database from text, embed
+prompts, retrieve top‑k by cosine similarity, and feed context into tiny
+CPU LLMs for NPC interactions.
+
+**No external API calls.** Everything is local, directly using GGUF models
+and [llama.cpp](https://github.com/ggml-org/llama.cpp) for inference.
+
+https://github.com/user-attachments/assets/863b75eb-0da7-4235-8112-f00bc82d81f6
+
> [!NOTE]
> This project is just for fun, to see how LLMs would fare as NPCs. Because of
> the non-deterministic nature of LLMs, the results vary and are often quite