
Reliable evaluation comes from good test cases & metrics
To develop high-quality AI, you need high-quality evaluation, which requires a sufficient number of fair test cases and insightful metrics tailored to your AI project. Teammately AI Agent automatically generates these while aligning with your requirements.Customized LLM judge metrics generated by AI
Pre-defined LLM judge frameworks for cost, latency and bias don't provide significant insights. Instead, evaluate using more relevant and specific metrics tailored to your use cases.
Collective decision-making
LLM judges are not always perfect. A voting system, where multiple LLMs evaluate the same dataset and metrics simultaneously, makes the judgments more reliable. [*Coming soon]
Pairwise evaluation
Pairwise lets you compare the outputs of two AI architecture versions to determine which performs better in comparison. [*Coming soon]
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