Preeti
The article discusses the challenges of evaluating Large Language Models (LLMs) and the importance of selecting the right model for specific use cases. Google Cloud launched the Vertex Gen AI Evaluation Service to help developers assess LLM performance and make informed decisions throughout the development process. The service offers online and offline evaluation modes using a variety of techniques, including computation-based metrics, autoraters, and human evaluation.
The article highlights how Generali Italia utilized the Gen AI Evaluation Service to implement a Retrieval-Augmented Generation (RAG) technology for document retrieval. By evaluating model performance against predetermined criteria, Generali Italia was able to improve their application and save time and money on manual evaluations. The service provided explanations, confidence scores, and autoraters to help the team understand model performance and make necessary improvements.
Overall, the Gen AI Evaluation Service offers a comprehensive set of evaluation techniques for any LLM model, enabling developers to create a customized evaluation framework for their GenAI applications. The service is integrated with Vertex AI, providing a full platform for training, deployment, and evaluation of generative and predictive applications.
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Source link: https://medium.com/@agarapuramesh/vertex-gen-ai-evaluation-service-for-llm-evaluation-a304876c17f3?source=rss——large_language_models-5
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