In the rapidly evolving world of artificial intelligence, developing powerful AI components—whether they're functions, complex workflows, or autonomous agents—is only half the battle. The other, equally critical half is ensuring they perform as expected, consistently, and reliably. This isn't a one-size-fits-all problem; the evaluation of an AI customer support agent will differ vastly from a medical diagnostic AI. This is where Evals.do, an AI component evaluation platform, shines, offering the nuanced, domain-specific evaluation capabilities that modern AI systems demand.
Traditional software testing methodologies, while foundational, often fall short when applied directly to AI. AI systems exhibit non-deterministic behavior, learn from data, and operate in dynamic environments. A simple pass/fail test might not capture the subtle nuances of an AI's performance, especially when dealing with subjective outcomes like tone or helpfulness. For example, evaluating a customer support agent's response isn't just about factual accuracy; it's also about empathy, clarity, and adherence to brand guidelines. This requires a much more sophisticated, domain-aware approach to assessment.
Evals.do steps in to bridge this gap, providing a comprehensive and customizable platform for AI evaluation. It allows you to move beyond generic metrics and define evaluation criteria that are truly relevant to your specific AI functions, workflows, and agents.
Consider the challenge of evaluating a customer support AI. It's not enough for it to simply provide "correct" information. The interaction needs to be positive, effective, and align with your brand's voice. Evals.do enables this with its flexible evaluation framework:
As seen in the code example, accuracy, helpfulness, and tone are all defined with specific scales and thresholds. This allows for a granular assessment, where human reviewers can rate responses, and automated metrics can assess elements like response time or word count.
Evals.do works by allowing you to define custom evaluation criteria, collect data from your AI components, and process it through various evaluators (human, automated, AI) to generate performance reports.
You can evaluate functions, workflows, and agents, as well as specific AI models or algorithms within your system.
Yes, Evals.do supports integrating both human feedback and automated metrics for comprehensive evaluation.
In an AI landscape where quality and reliability are paramount, generic evaluation strategies simply won't suffice. Evals.do empowers developers and organizations to implement domain-specific evaluation tailored to the unique demands of their AI components. By focusing on relevant metrics and incorporating both automated and human insights, Evals.do is the comprehensive evaluation platform that helps you understand, refine, and ultimately trust your AI.
Elevate your AI quality today. Assess AI Quality with Evals.do.
import { Evaluation } from 'evals.do';
const agentEvaluation = new Evaluation({
name: 'Customer Support Agent Evaluation',
description: 'Evaluate the performance of customer support agent responses',
target: 'customer-support-agent',
metrics: [
{
name: 'accuracy',
description: 'Correctness of information provided',
scale: [0, 5],
threshold: 4.0
},
{
name: 'helpfulness',
description: 'How well the response addresses the customer need',
scale: [0, 5],
threshold: 4.2
},
{
name: 'tone',
description: 'Appropriateness of language and tone',
scale: [0, 5],
threshold: 4.5
}
],
dataset: 'customer-support-queries',
evaluators: ['human-review', 'automated-metrics']
});