Time savings and increased productivity with LLM Anthony Chat
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Fokker Services Group wants an intuitive, accessible tool that lets employees ask questions about internal documents and quickly get accurate answers. Anthony Chat uses a Retrieval-Augmented Generation (RAG) model to find relevant information in documents and present it in clear answers. This improves efficiency and decision-making, and reduces the time spent navigating large amounts of data.
Want to know more about this case study? Read the technical blog post we wrote about it: ‘GenAI in your organisation: internal LLMs and the power of RAG’.
Working with Data Science Lab on projects ranging from market intelligence to AI-driven chat solutions has been invaluable for deriving smarter business solutions. Their expertise and collaborative spirit have been pivotal in the success and growth of our advanced analytics capabilities.
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