Be confident that your AI model will hold up under the pressures of real production use.
Executive summary
Download these guides to beef up your knowledge about AI evaluations and sound like the smartest person in the room.
1. Part I: AI evaluations explained
Understand what AI evaluations do (they're quality control for AI) and why they're important.
2. Part I: A brief history of benchmarks
Back up your understanding with the history of benchmarks, leaderboards, and why we're seeing limitations.
3. Part I & II: Why standard benchmarks and evaluation frameworks miss the mark
Benchmarks were developed to be a common yardstick for measuring AI capabilities, but they come with limitations and enterprise-specific challenges.
4. Part II: The solution: Custom evaluation frameworks
Enterprises need to adopt custom evaluation frameworks specifically tailored to their unique use cases and business objectives.
5. Part II: Building a custom evaluation framework
We offer six specific pieces to build a custom framework that suits your use cases and users.
Intro to AI evaluations
Don't get caught judging your AI systems against the wrong standards. AI systems need structured evaluations before they’re trusted with high-stakes business processes. Evaluations bring leaders the confidence that the model will hold up under the pressures of real production use.
Don't get caught judging your AI systems against the wrong standards. AI systems need structured evaluations before they’re trusted with high-stakes business processes. Evaluations bring leaders the confidence that the model will hold up under the pressures of real production use.
Don't get caught judging your AI systems against the wrong standards. AI systems need structured evaluations before they’re trusted with high-stakes business processes. Evaluations bring leaders the confidence that the model will hold up under the pressures of real production use.
