Specific Needs, Specific Solutions: Domain-Specific Evaluation for AI with Evals.do

In the rapidly evolving world of artificial intelligence, deploying AI that actually works is paramount. Generic evaluation methods often fall short when it comes to assessing the nuanced performance of AI components designed for specific domains. That's where the power of domain-specific evaluation comes in, and Evals.do is built precisely for this.

At Evals.do, we understand that evaluating your AI functions, workflows, and agents requires a tailored approach. You can't effectively measure the success of a medical diagnostic agent with the same criteria you'd use for a customer support chatbot. Each domain has its own unique challenges, characteristics, and, most importantly, its own definition of "good" performance.

Why Domain-Specific Evaluation Matters

Imagine you're building an AI agent to handle customer support inquiries. What metrics are truly important?

• Accuracy: Is the information provided correct?
• Helpfulness: Does the response effectively address the customer's problem?
• Tone: Is the language appropriate and empathetic?

These are domain-specific concerns for customer support. A financial trading agent, on the other hand, might prioritize:

• Timeliness of information: How quickly is market data analyzed?
• Profitability of recommendations: Are the trading suggestions leading to gains?
• Risk assessment accuracy: Are potential losses correctly identified?

Trying to evaluate both using a one-size-fits-all approach will inevitably lead to inaccurate assessments and missed opportunities for improvement.

Evals.do: Designed for Your Specific Needs

Evals.do is a comprehensive evaluation platform built to address this need for domain-specific assessment. We allow you to define and track metrics that are directly relevant to your AI component's purpose and the domain it operates within.

With Evals.do, you can:

• Define Custom Metrics: Forget boilerplate metrics. Tailor evaluation criteria to your unique AI component requirements and business goals.
• Set Thresholds: Establish objective performance benchmarks for each metric to understand when your AI is meeting expectations.
• Integrate with Your Data: Utilize your domain-specific datasets to run realistic evaluations.
• Combine Evaluation Methods: Leverage both automated metrics and human review for a holistic assessment of performance.

Let's look at an example using a customer support agent evaluation with Evals.do's flexible configuration:

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 // We want a high degree of accuracy
      },
      {
        name: 'helpfulness',
        description: 'How well the response addresses the customer need',
        scale: [0, 5],
        threshold: 4.2 // Helpfulness is slightly more critical
      },
      {
        name: 'tone',
        description: 'Appropriateness of language and tone',
        scale: [0, 5],
        threshold: 4.5 // Professional and empathetic tone is crucial for customer satisfaction
      }
    ],
    dataset: 'customer-support-queries', // Use your real customer queries
    evaluators: ['human-review', 'automated-metrics'] // Combine human feedback with automated checks
  });

This example clearly demonstrates how Evals.do allows you to define metrics like accuracy, helpfulness, and tone – criteria essential for a customer support agent. Each metric has a specified scale and a clear threshold, providing objective targets for performance. You can also specify the dataset and the types of evaluators to be used, ensuring the evaluation process is aligned with your specific needs.

AI Without Complexity

Implementing effective AI evaluation doesn't have to be complex. Evals.do is designed to be intuitive, allowing you to quickly set up and run evaluations tailored to your specific AI components and domains. Our platform empowers you to:

• Make Data-Driven Deployments: Confidently deploy AI components into production knowing they meet your domain-specific performance standards.
• Identify Areas for Improvement: Pinpoint weaknesses in your AI based on concrete evaluation results.
• Accelerate Development Cycles: Iterate and refine your AI more effectively with clear performance feedback.

Whether you're building AI for healthcare, finance, e-commerce, or any other domain, Evals.do provides the flexible and powerful tools you need to evaluate AI that actually works.

Ready to start evaluating your AI with domain-specific precision?

Learn more about Evals.do and sign up today!