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Offline Testing

8 articles · Page 1 of 1
Alibaba Cloud Native
Alibaba Cloud Native
Aug 7, 2026 · Artificial Intelligence

Best Practices for Skill Evaluation and Optimization with Alibaba Cloud AgentLoop

This article presents a complete, data‑driven workflow for creating, instrumenting, offline evaluating, analyzing bad cases, and iteratively optimizing Skills on Alibaba Cloud AgentLoop, enabling developers to quantify quality, track improvements across versions, and reliably deliver high‑quality AI Agent capabilities.

AI AgentAgentLoopBad Case Analysis
0 likes · 43 min read
Best Practices for Skill Evaluation and Optimization with Alibaba Cloud AgentLoop
AgentGuide
AgentGuide
May 3, 2026 · Artificial Intelligence

How to Evaluate an AI Agent Beyond Just Accuracy

Evaluating AI agents requires more than accuracy; you must measure task completion, execution trace, tool usage, latency, cost, error rates, and both explicit and implicit user feedback, using observability, offline smoke‑test and regression suites, and continuous online monitoring to create a closed‑loop improvement process.

AI AgentOffline TestingOnline Testing
0 likes · 14 min read
How to Evaluate an AI Agent Beyond Just Accuracy
PMTalk Product Manager Community
PMTalk Product Manager Community
Dec 9, 2025 · Product Management

Why AI Product Managers Struggle with Planning: Insights from Real Interviews

The article reveals that many AI product managers can talk about AIGC and agents but stumble when asked to design a rigorous evaluation system, illustrating the problem with a chatbot case study and presenting a detailed 1+3 multi‑dimensional framework to guide product definition, development, and iteration.

AI product evaluationOffline Testingadversarial testing
0 likes · 18 min read
Why AI Product Managers Struggle with Planning: Insights from Real Interviews
Ziru Technology
Ziru Technology
Dec 16, 2022 · Big Data

How to Effectively Test Offline Data Metrics and Data Warehouse Pipelines

This article explains what data metrics are, compares offline metric testing with traditional testing, and provides a comprehensive step‑by‑step guide for testing data collection, ETL, warehouse models, metric calculations, scheduling, security, and API outputs in a Hive‑based data warehouse.

Data WarehouseETLHive
0 likes · 9 min read
How to Effectively Test Offline Data Metrics and Data Warehouse Pipelines
Amap Tech
Amap Tech
May 8, 2020 · Product Management

How Amap’s Evaluation Team Measures Product Success: Roles, Methods, and Tools

This article explains the evolution, responsibilities, and evaluation methods of the product‑effect assessment team at Amap, covering offline testing, AB experiments, metric analysis, automated scoring models, and the tools that support a comprehensive product‑performance framework.

AB testingIndustry InsightsOffline Testing
0 likes · 13 min read
How Amap’s Evaluation Team Measures Product Success: Roles, Methods, and Tools
360 Quality & Efficiency
360 Quality & Efficiency
Feb 5, 2018 · Artificial Intelligence

Fundamentals of Recommendation Engines: User Profiling, Data Classification, and Testing Methods

The article explains the core concepts of recommendation engines—user profiling and data classification—describes how large‑scale data processing tools are used to build models, and outlines common offline and A/B testing approaches for evaluating recommendation performance.

AB testingOffline Testingdata classification
0 likes · 4 min read
Fundamentals of Recommendation Engines: User Profiling, Data Classification, and Testing Methods