Google Labs Launches Stax: AI Evaluation Tool for Objective LLM Testing
By
Rohan Chaubey
A baker's-dozen of insight crammed into one ring.
Summary
Google Labs has launched Stax, a new AI evaluation tool designed to help developers move beyond subjective "vibe testing" of large language models. Stax provides a comprehensive toolkit for building custom autoraters to measure AI performance with real data, supporting all major model providers. This represents the 8th launch from Google Labs, which serves as Google's experimental hub for testing early-stage AI products and features.
Key quotes
· 5 pulledMove your LLM evals from vibes to data
Stax is a tool from Google Labs to solve LLM evaluation
Move beyond "vibe testing" by building custom autoraters to measure what matters to you
It's a full toolkit for testing your AI stack with your data, with support for all major model providers
Stax is one of the few products I've seen recently that got me genuinely excited
You might also wanna read
Google Tests AI-Powered Scholar Labs Search Tool for Research Discovery
Google is testing a new AI-powered search tool called Scholar Labs that aims to answer detailed research questions by analyzing the relation
The Verge·6mo ago
Oxford-led study finds AI evaluation benchmarks lack scientific rigor
A comprehensive study led by Oxford Internet Institute involving 42 researchers from leading global institutions found that many tests used
oii.ox.ac.uk·6mo ago
Gemini 3.0 AI Model Accessible Through Google AI Studio A/B Testing
The article describes how the author discovered and tested Google's unreleased Gemini 3.0 AI model through A/B testing in Google AI Studio.
ricklamers.io·7mo ago
Comparative Analysis of Over 100 AI Models: Performance, Speed, and Cost
The article provides a comprehensive comparison and ranking of over 100 AI models (LLMs) from major providers like OpenAI, Google, and DeepS
artificialanalysis.ai·10mo ago
CompileBench: Testing AI Models on Real-World Software Engineering Challenges
CompileBench is a new benchmark that tests 19 state-of-the-art large language models (LLMs) on their ability to handle real-world software e
quesma.com·8mo ago