IT ServicesLLM-as-judge evaluation combined with execution-based and retrieval-quality metrics.operational evaluation process used to track querygpt improvements across production and staging flows.

LLM-assisted evaluation pipeline for QueryGPT SQL quality

Uber tests QueryGPT by comparing its generated SQL against hand-checked correct answers and uses another LLM to score how similar the generated query is to the expected one.

9.5
Quality
Score

Executive Brief

Business Problem Solved

Premium content - unlock to see the business problem analysis...

Value Drivers

Value Driver 1Value Driver 2

Strategic Moat

Premium content - unlock to see strategic analysis...

Premium Access

Full Analysis Available

Executive brief, technical architecture, and market positioning for this use case.

Technology It — $499/yrAtlas Pro — $1,499/yr
Executive Brief•Technical•Market Signal

Technical Analysis

Model Strategy

Premium content...

Data Strategy

Premium content...

Implementation Complexity

Premium content...

Scalability Bottleneck

Premium content...

Premium Access

Full Analysis Available

Executive brief, technical architecture, and market positioning for this use case.

Technology It — $499/yrAtlas Pro — $1,499/yr
Executive Brief•Technical•Market Signal

Market Signal

Adoption Stage

Premium content...

Differentiation Factor

Premium content...

Key Competitors

Company ACompany B
Premium Access

Full Analysis Available

Executive brief, technical architecture, and market positioning for this use case.

Technology It — $499/yrAtlas Pro — $1,499/yr
Executive Brief•Technical•Market Signal

Part of Application

LLM SQL and Knowledge Base Quality Evaluation

3 use cases in this application

Explore More

More in IT Services→More LLM-as-judge evaluation combined with execution-based and retrieval-quality metrics.→

Source

https://uber.com/en-IN/blog/query-gpt