AI Validation with NIMBUS Uno | RAG Testing, LLM Evaluation & GenAI Model Validation Explained

Description

Validating Generative AI and LLM-based applications requires an entirely new approach. Unlike traditional models that output numbers, GenAI systems generate text, images, code, and reasoning sequences, making AI Validation significantly more complex. In this video, we break down how Nimbus Uno simplifies RAG Testing, LLM evaluation, and GenAI model validation through a unified, purpose-built framework. Learn how Nimbus generates domain-specific datasets, creates ground-truth Q&A pairs, evaluates multiple LLMs, performs human annotation, and applies conformal prediction for confidence scoring, all in one streamlined workflow. What you’ll learn: ✔ Why traditional model validation doesn’t work for GenAI ✔ How to validate RAG pipelines end-to-end ✔ How Nimbus generates custom datasets using knowledge graph extraction ✔ How to compare human vs. model performance using confidence scores ✔ How to evaluate accuracy, relevance, coherence & robustness across LLMs ✔ How the Data Intelligence Hub supports transparent review and auditability NIMBUS Uno delivers a seamless environment for AI Validation, ensuring your GenAI applications are accurate, compliant, and ready for real-world deployment. Contact us today for a demo: https://www.solytics-partners.com/products/nimbus-uno #AIValidation #RAGTesting #LLMEvaluation #GenAITesting #ModelValidation #AIGovernance #ModelRisk #NimbusUno #SolyticsPartners