AI case studies using {model/tool}



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L’Oréal built GenAI as a Service by developing a comprehensive set of declarative generative AI APIs accessible via its internal L’OréalAPI portal, enabling developers to integrate advanced AI features without worrying about LLM connectivity or billing complexities. Using Google Cloud Run for scalable, serverless deployment and integrating LangChain to connect with LLMs like Gemini Pro 1.5, the solution supports prompt completion, chat with memory, and image generation. This implementation streamlines internal workflows across multiple departments while ensuring robust data security and governance.
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Five Sigma developed Clive, the insurance industry’s first AI claims adjuster that integrates with legacy claims systems to automate claim intake, analysis, and processing. It leverages Google Cloud’s Vertex AI with Gemini models to analyze both structured and unstructured data and employs LangChain for its conversational interface along with LangSmith for automated testing and continuous improvement. This implementation transforms claims handling workflows, enabling adjusters to make faster, more accurate settlement decisions.
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