AI Decision Maker (GLiNER 2.5)

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Identjeffskitchen.aidecisionmakergliner25
Created
Updated
Latest Version 394926 +43
Links s&box
SummaryNative GPU-accelerated GLiNER 2.5 decision workbench for testing structured AI choices directly inside s&box.
Description
AI Decision Maker (GLiNER 2.5) is a native s&box proof-of-concept that lets you test structured AI decision making directly in-engine. Enter a context, task/question, and a set of candidates, then let GLiNER 2.5 Small choose the best option and rank the rest. The project runs natively inside s&box, with a GPU-accelerated backend for fast interactive inference and a scalar CPU backend retained as a reference path. Features • Native GLiNER 2.5 Small integration in s&box • GPU backend for fast decision inference • CPU backend for validation and comparison • Clean interactive decision workbench UI • Candidate ranking, scores, and diagnostics • Designed for testing AI decision-making workflows in games and tools What it’s for This project is a technical demo / workbench, not a full game. It is designed for: • experimenting with AI-driven decision selection • testing structured prompts and candidate options • exploring future NPC and gameplay AI workflows in s&box Example uses • choosing the next action for an NPC • ranking tactical options • testing survival / combat / strategy decisions • prototyping AI utility-style systems with language models This build is intended as a showcase of native in-engine AI inference and as a foundation for future gameplay experiments.
AI Decision Maker (GLiNER 2.5) is a native s&box proof-of-concept that lets you test structured AI decision making directly in-engine. Enter a context, task/question, and a set of candidates, then let GLiNER 2.5 Small choose the best option and rank the rest. The project runs natively inside s&box, with a GPU-accelerated backend for fast interactive inference and a scalar CPU backend retained as a reference path. Features • Native GLiNER 2.5 Small integration in s&box • GPU backend for fast decision inference • CPU backend for validation and comparison • Clean interactive decision workbench UI • Candidate ranking, scores, and diagnostics • Designed for testing AI decision-making workflows in games and tools What it’s for This project is a technical demo / workbench, not a full game. It is designed for: • experimenting with AI-driven decision selection • testing structured prompts and candidate options • exploring future NPC and gameplay AI workflows in s&box Example uses • choosing the next action for an NPC • ranking tactical options • testing survival / combat / strategy decisions • prototyping AI utility-style systems with language models This build is intended as a showcase of native in-engine AI inference and as a foundation for future gameplay experiments.
Votes 0 0 1
Error Rate0%
Usage
1 players 1 sessions 16 minutes playtime 16 minutes avg session
Totals captured
Data
{"SinglePlayer": true, "GameConfigConfirmed": true}