# Introducing Human-in-the-loop Evaluation for Agentic AI Observability

## Validating Models

### Create ground truth datasets to continuously validate and improve models

Unlock the true potential of your models by validating them with ground truth datasets created using the HumanSignal platform

- **Increase efficiency** of manual data labeling with automated workflows and team performance management.
- **Ensure accuracy** of ground truth datasets with reviewer workflows and quality reporting.
- **Use one platform** for all data types and formats with templates and SDKs to easily configure labeling tasks.

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#### Validate LLMs at each prompt

Leveraging prompt-based evaluation, real-time scoring, user feedback, and incremental training, you can implement a feedback loop to iteratively validate and improve the LLM's performance.

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#### Continuously evaluate your model's performance

Objectively measure accuracy, precision, recall, and more to understand how well your model is performing.

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#### Ensure your model can handle real-world scenarios

Validate a model’s ability to make accurate predictions on unseen data, identifying any overfitting or underfitting issues. Trust that your model can generalize its learnings effectively.

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#### Compare and select the best-performing models

Validate multiple models against the same ground truth dataset to determine which one performs the best.

## Scoutbee Drives Product Innovation and 2-3X Revenue Using Label Studio Enterprise to Train Accurate ML Models

Scoutbee has seen significant success with their ML-driven products while using Label Studio Enterprise to both train large-scale models and provide adjustments to their models currently in production.

2-3x Increase in revenue generated through ML-based products

20x Reduction in time taken to label data and train and maintain models while keeping quality 
at SLA level

>90% Model accuracy across millions 
of documents

## The HumanSignal Platform

Try the platform used by more than 250,000 data scientists and experts. Make your labeling team more efficient with workflows, analytics, annotator management tools. Simplify your labeling efforts by using the same platform to label any data type. And integrate any model, including foundation models like GPT-4 to automate your labeling and maximize the impact of the human signal your labelers provide.

# See how Label Studio Enterprise can work at your organization.