Results for “model-evaluation”
11 skillsarize-experiment
Creates, runs, and analyzes Arize experiments for evaluating and comparing model performance using the ax CLI.
36.2k · bundle
agent-platform-eval-flywheel
Measures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology, including dataset creation, metric selection, failure analysis, and iterative improvement.
14.4k · bundle
teamwork
Creates and manages AI agent teams for complex engineering tasks, with model routing, cost optimization, and performance evaluation.
10
mle-workflow
Turn model work into a production ML system with data contracts, repeatable training, measurable quality gates, deployable artifacts, and operational monitoring.
226k
More results
eval-harness
Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles.
0
evaluation
Build evaluation frameworks for agent systems, covering rubric design, test set creation, and automated evaluation pipelines.
42.4k
evaluation
Build evaluation frameworks for agent systems with deterministic checks, regression suites, multi-dimensional rubrics, quality gates, production monitoring, and outcome measurement.
16.9k · bundle
microsoft-foundry
Deploy, evaluate, fine-tune, and manage Microsoft Foundry agents end-to-end using Azure Developer CLI and MCP tools.
2.7k · bundle
mcp-builder
Guides the creation of high-quality MCP servers that enable LLMs to interact with external services through well-designed tools, covering planning, implementation, testing, and evaluation.
158k · bundle
mcp-builder
Guides the creation of high-quality MCP servers that enable LLMs to interact with external services through well-designed tools, covering planning, implementation, testing, and evaluation across multiple programming languages.
2.7k · bundle
tao-run-deft-aoi
Automates the full DEFT AOI improvement loop for NVIDIA TAO VisualChangeNet / ChangeNet PCB inspection models, including baseline evaluation, RCA, synthetic defect generation, data mining, retraining, and deployment gating until KPI targets are met.
2.2k · bundle