How you can adopt custom evaluation tailored to your use cases and business objectives.
Executive summary
From human-in-the-loop reviews to multimodal assessment, we outline how enterprises can build custom evaluation systems that assess real-world performance for safe and accurate model deployment.
1. AI evaluations explained
Understand the importance of AI evaluations, and back up your knowledge with the history of benchmarks and leaderboards.
2. Why standard evaluations and benchmarks miss the mark
Learn why custom evals
3. Build a
Enterprises need to adopt custom evaluation frameworks specifically tailored to their unique use cases and business objectives.. How to construct inputs, catch faulty training data, and run behavioral and safety checks
4. Why 22 top models that ace public leaderboards still averaged <50% on simple job tasks
5. A client case that reduced harmful behaviors by 97% with 4,000 rows of data, not 100k
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