Prevent hallucinations & security issues
Articles, tutorials & news on AI Quality, Security & Compliance
Our Phare benchmark reveals that leading LLMs reproduce stereotypes in stories despite recognising bias when asked directly. Analysis of 17 models shows the generation vs discrimination gap.
Giskard launches RealPerformance to address this gap: the first systematic dataset of business performance failures in conversational AI, based on real-world testing across banks, insurers, and manufacturers.
Discover the best tools for benchmarking Retrieval-Augmented Generation (RAG) systems. Compare RAGAS, BERTScore, Levenshtein Distance, and Giskard with real-world examples and find the optimal evaluation approach for your AI applications.
Enterprise AI teams often treat observability and evaluation as competing priorities, leading to gaps in either technical monitoring or quality assurance.
Articles, tutorials and latest news on AI Quality, Security & Compliance
Enterprise AI teams need both immediate protection and deep quality insights but often treat guardrails and batch evaluations as competing priorities.