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Evaluate gen AI models with Vertex AI evaluation service and LLM comparator
- To determine the best generative AI model, smart evaluation is essential, like using Vertex AI evaluation service and LLM Comparator.
- Pairwise model evaluations, comparing two models directly, are crucial for assessing relative performance.
- Pairwise model evaluation helps make informed decisions, define 'better' quantitatively, and monitor continuous retraining.
- Vertex AI evaluation service aids in model selection, configuration, prompt engineering, fine-tuning, and migration.
- It also supports various model-based metrics, pairwise evaluations, and computation-based metrics.
- The service allows for custom metrics definition, model comparison, tracking datasets, and seamless API access.
- LLM Comparator, an open-source tool by PAIR at Google, enhances automated LLM evaluation with human-in-the-loop processes.
- LLM Comparator enables side-by-side model output comparisons, visualizations, and custom metric extensions.
- By integrating pairwise evaluation results with LLM Comparator, a deep understanding of model performance can be achieved.
- This semi-automated evaluation approach can streamline model assessment and comparison for diverse LLMs, improving overall quality.
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