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Wild Scope
To properly track and prioritize AI adoption, organizations need a tool to safely centralize all their AI projects in one place easily.
A library that allows the storage of all AI systems and ML models and sorts them by value or impact, tracks and prioritizes their adoption, and communicates the value of each AI use case between teams, stakeholders, and executives.
Wild Bench
Wild Bench is an evaluation tool for comparing large language models (LLMs), prompts, and hyperparameters for generative text models. It continuously tests models and data across the AI lifecycle to prevent risk early and deploy with confidence.
These tests are run in the background in a CI/CD manner, working unobtrusively to facilitate innovative development.
Wild Scale
To govern the AI lifecycle and adopt risk management at scale, the imperative is to unleash the full potential and ROI of AI across the various branches of the organization. It requires instilling integrity, operationalizing trustworthy AI governance, and implementing a comprehensive, enterprise-wide system that supports a future-proof workforce.