AI tools for “model”
1,200 results (tools & skills) · 358 ms
Databricks Model Serving endpoint lifecycle and ops. Use when asked to: CRUD serving endpoints (CLI or MLflow Deployments client); configure traffic routing for A/B / canary deploys and zero-downtime version swaps;…
Use when querying or calling pay-per-token foundation models, or when creating, updating, listing, or querying Unity Gateway (also called Unity AI Gateway) services, including model provider services, MCP services,…
协助自动编写符合 TDgpt 规范的时序预测模型及多特征对齐 Pipeline 代码。触发关键词：写时序预测模型，生成时序模型，TDGPT模型，特征对齐，tdgpt-model-writer，时序预测模型。
协助部署 TDGPT 模型，包括环境配置、网络接入、依赖项安装以及模型验证。触发关键词：部署 tdgpt，部署 TDengine GPT，部署大模型，tdgpt 部署。
…image, video, or audio generation through a saved Runway Model Router configuration, or when the user asks to inspect or manage one. Resolve the live config and follow current router docs. For a fixed direct model…
Use when adding or maintaining a direct Runway Dev model endpoint in an application, including image, video, audio, or task handling. Discover current model access and constraints when needed, follow the exact endpoint…
Detailed instructions and examples for developing model resources in Rill
Comprehensive guidance for training models in DataRobot, including project creation, AutoML configuration, feature engineering, and model selection. Use when training models, creating AutoML projects, or selecting…
Tools and guidance for monitoring model performance, tracking data drift, managing model health, and detecting prediction anomalies. Use when monitoring deployed models, tracking drift, or investigating prediction…
Tools and guidance for model explainability, prediction explanations, feature impact analysis, SHAP values, SHAP distributions, anomaly assessment, and model diagnostics. Use when analyzing model explanations, feature…
Tools and guidance for deploying DataRobot models, managing deployments, configuring prediction environments, and deployment operations. Use when deploying models, creating or updating deployments, or configuring…
…how code running in Domino reaches a Large Language Model, LLM Gateway 2.0 first where deployed (routed to domino-llm-gateway); otherwise Option A, an external provider (OpenAI, Anthropic, AWS Bedrock, Azure…
Automate Domino endpoints (Model APIs) and registered models over REST. Covers the /api/modelServing/v1 lifecycle (create an endpoint from a file or a registered model, add versions, poll deployment status, list, update…
Enable AI-assisted model development (vibe modeling) in Domino. The assistant writes the data-analysis, model and training code and uses the bundled Domino MCP server to run it as Domino Jobs, wait for and read their…
Deliver a Domino model outside a Domino endpoint. Covers batch scoring Jobs (a scoring script run once or on a schedule, results, notifications, the async endpoint alternative), the Model Export API (buildModelImage,…
Publish and call Domino endpoints (model APIs) for synchronous or asynchronous predictions. Covers the prediction function and request JSON, how the endpoint image is built (environment, required packages, no…
Monitor production models in Domino for data drift and model quality. Covers the two workflows (integrated monitoring for Domino endpoints with prediction capture, and Model Monitor for models served elsewhere), the…
An API relay for pi, Cursor and Hermes. Choose model groups by task, with in-group retry on rate limits before generation. Explore plans, credits and setup.
The best game dev tools in one place: 3D models, animations, textures, sound, music, multiplayer and publishing. Use them with any AI agent or in the browser.
Release dates of the newest Claude, GPT, Gemini, Grok, DeepSeek, Qwen, Kimi, Mistral and Meta models, plus free LLM API limits, deprecations and dev tools.