Be confident that your AI model will hold up under the pressures of real production use.
Executive summary
This is the first in a two-part series on AI evaluations. Download this guide to beef up your knowledge about AI evaluations and sound like the smartest person in the room.
1. AI evaluations explained
Understand what AI evaluations do (they're quality control for AI) and why they're important.
2. A brief history of benchmarks
Back up your understanding with the history of benchmarks, leaderboards, and why we're seeing limitations.
3. 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. The cost of doing nothing
Models that make it into production without proper evaluations face risks across reputation, compliance, and more.
5.
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.
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