“model：ChatGPT”

Model Monitoring / Drift Detection Designer

Production ML monitoring: data/concept drift, staleness, fairness over time, and retraining triggers — with alert thresholds tied to impact.

Model selection

Model Extraction and API Distillation Abuse Mitigation

防护商用/自研模型API遭高置信度查询蒸馏与克隆，设计速率管控、异常检测与水印追踪控制；适用于大模型推理服务运营方。

ER model in text (entities, attributes, types, nullability, PK/FK, cardinalities,

Ranking Model

3D model generation

Multi-Model Render Fleet Orchestration

在多家图像/图生视频/口型模型间做镜头级路由、级联与失败重试编排，兼顾质量、成本与交期。

Tension model: what creates risk/failure cost? Is failure legible and

Hit model: hurtbox/hitbox pipeline, active frame shape, multiple-hit rules,

Player-Model-Driven Adaptive World

基于实时玩家模型调节难度、节奏与生成式遭遇的多目标个性化系统，强调透明、可关闭、反暗黑模式。适用于服务型动作/射击/RPG。

Data ownership migration: read model/API replacements for foreign readers,

LLM Fine-Tuning / Model Customization Planner

Decides between prompting, few-shot, RAG, and fine-tuning; if fine-tuning, designs dataset, method (LoRA), and eval.

Multimodal Video Understanding Model Deployment for Film and TV

面向影视厂牌部署多模态视频理解模型，把每日素材自动转化为含镜头、人脸、台词、道具的结构化数据，打通场记、检索、质检与后期。

Character Bible and Cross-Model Identity Lock

为主要角色建立心理与视觉双设定集，制定身份令牌与防漂移探针，确保角色在图像、视频、口型多模型间一致。

AI/ML Model and Data Supply Chain Security

建设AI组件供应链保障（模型、权重、数据集、插件），覆盖入库审查、签名验证与持续监控；对影子使用进行评估而非攻击利用。

Third-Party Pre-Trained Model Integrity Verification and Backdoor Evaluation

对从外部模型仓库获取的预训练权重建立完整性校验与后门/植入物评估流程；适用于模型准入安全评审与私有化部署前检查。

Reward pacing: cadence model (micro rewards per X seconds, minor per session,

Source/sink model: expected income per player type (casual/active/whale) per

Matchmaking: skill model intent (fast fair fun — pick priority), party size,

Abuse surface: cheat model (server-authoritative checks list, aim/teleport/