AI Evaluation

Learn why strong model evaluation workflows are essential for building reliable and trustworthy GenAI applications.

Generative AI has vast potential to transform the enterprise. But before it can be trusted for mission-critical applications, LLMs must be evaluated at every stage, from selecting a model to tuning the model to reviewing or guaranteeing the output.

As a result, setting up the right evaluation workflows—using a combination of automation plus human supervision—is key to enabling feedback loops all the way down and unlocking the true potential of GenAI.

Here are a few things you’ll have the opportunity to learn from AI product leaders and data science peers by attending this event:

• Why using efficient evaluation workflows to apply human supervision is essential for high-stakes GenAI implementation in production
• Best practices for using human supervision to review LLM output and continuously improve models - before and after they come into contact with customers
• How HumanSignal is evolving Label Studio Enterprise to meet the needs of GenAI workflows - including model evaluations - while improving efficiency for predictive ML pipelines

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