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Read this blog post where we discuss an experiment that used model uncertainty, as indicated by LLM uncertainty, to inform the allocation of annotation work.

Get a deeper understanding of the data preparation processes and considerations for building effective RAG architectures at an enterprise scale.

Learn how É«µ¼º½ can help the AI community address this challenge with human-in-the-loop approaches, ensuring LLM development and deployment adhere to the highest standards.

Learn how large enterprises can use centralized platforms to unlock GenAI's full potential while maintaining oversight and domain expertise.

É«µ¼º½ has been recognized as a Leader in Everest Group’s Data Annotation and Labeling (DAL) É«µ¼º½ for AI/ML PEAK Matrix® 2024. The report, from this established global research firm, evaluated 19 providers on market impact, vision, and capability

Learn what context windows are, how they affect AI, and what organizations should consider when using LLMs.