AI case studies using {model/tool}





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Decagon, a company focused on automating customer support, uses OpenAI's suite of GPT models, including GPT-3.5 and GPT-4, to manage large volumes of support inquiries without human intervention. The models are configured for tasks such as query rewriting, complex decision-making, and API request processing, offering scalable, nuanced responses tailored to each customer's needs.
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Lowe's fine-tunes OpenAI's GPT-3.5 to improve the accuracy of product descriptions and tagging on Lowes.com. By enhancing product data quality, the company reduces human error and associates' workloads, while increasing search result accuracy by 20% and improving product error detection by 60%. This initiative drives a smoother customer experience and boosts ecommerce performance.
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Lowe's fine-tunes OpenAI's GPT-3.5 to improve the accuracy of product descriptions and tagging on Lowes.com.
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Typeform uses GPT-3.5 and GPT-4 to create Formless, a dynamic AI-powered platform that replaces traditional forms with conversational data collection. The AI adapts to responses, allows for two-way conversations, supports multiple languages, and integrates data from various sources for analysis and actionable insights.
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