AI Evaluation: Ensuring Mission-Critical Trust & Safety

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