WhyLabs: Optimize
Don’t stop at v1, improve continuously!
The hard work begins once the AI application is deployed to production. Operating the AI applications means creating feedback loops that inform various stakeholders - operations team, security team, product team - about the health and performance of the application. WhyLabs AI Control Center creates feedback loops and helps automate a continuous improvement process.
Thousands of users love and trust WhyLabs:
Automate
Optimization starts with automating manual operations, that is how you free up resources for AI improvements. With WhyLabs, ML organizations have been able to automate more than 80% of manual work associated with running AI in production, freeing time to launch optimized models faster.
Customize
No AI application is the same. That is why the AI Control Center prioritized customization. You can make the Control Center suit your unique needs with ease by customizing WhyLabs Secure Guardrail rule sets, selecting integrations into bespoke infrastructure, and building customized dashboard visualizations.
Fine-tune
Observability and security generate insights necessary to improve the application experience. WhyLabs takes this a step further, using WhyLabs Control Center, you can create datasets for re-training predictive models or for setting up Reinforcement Learning from Human Feedback (RLHF) in generative models.
Create feedback loops across the AI lifecycle
Customizable to fit your unique applications
AI Control must be accessible to every stakeholder in your organization:
- Non technical users can build custom dashboards, generate reports, and understand AI health across entire organizations.
- Technical users can precisely define guardrail rules, collect custom metrics, and build advanced monitoring configurations.
Streamline evaluation to build the best performing model
WhyLabs Control Center makes model evaluation easy and effective. The most popular features are:
- Tracking and analytics of performance metrics
- Comparative analysis across model versions and across data cohorts/segments
- Ability to compute metrics and automatically set-up a customized dashboard for for predictive models, including classification, regression, and ranking models.
- Ability to build evaluation datasets for generative AI models using guardrails to annotate the prompt/response pairs with 30+ derived metrics.
Optimize GenAI security guardrail
For GenAI applications, a guardrail with high accuracy is essential, as incorrectly blocking customer interactions will create churn. WhyLabs incorporates the latest advancement in AI thread detection and retrains the models which power the guardrails with the latest GenAI red teaming data. For additional optimization, WhyLabs Secure guardrail can be used in gray-box mode, which allows users to tune it continuously with new examples gathered by the guardrail and reviewed by the security team.
Optimize and innovate, with control
AI Control does not begin in production. It’s essential across the entire AI application lifecycle. WhyLabs AI Control Center is focused on delivering value across all stages of the AI application - from development and beyond deployment, to improvement.
Improvement is particularly important. WhyLabs capabilities make it easy to collect annotated datasets with examples of hallucinations, abuse, and adversarial events generated by your GenAI application. These datasets help close the loop, by enabling high quality evaluations and RLHF fine-tuning.
