Which AI Models are you using to localize your customer support?
Uttiya Roy
3 replies
I really like Command R+, but I am confused about which model I should invest in for multilingual capabilities. Specifically, I am looking for Mandarin and Hindi support.
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![Gurkaran Singh](https://ph-avatars.imgix.net/6532897/6645a53d-b97d-4d2f-a73d-4f77615a92d2.jpeg?auto=compress&codec=mozjpeg&cs=strip&auto=format&w=36&h=36&fit=crop)
Gurkaran Singh@thestarkster
When it comes to multilingual customer support like Mandarin and Hindi, considering models like Google's Multilingual Universal Sentence Encoder or Facebook's M2M-100 can be as exciting as navigating a tech conference snack table - lots of options, but the best choice depends on your unique taste!
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were leveraging AI chatbots to provide real-time customer support, offering quick responses .
When localizing customer support, various AI models and tools can be utilized to enhance self-service capabilities. Integrating these AI models with a knowledge base like Document360 for a robust solution can significantly improve the customer experience. Here are some suggestions:
Knowledge Base:
Document360 2.0 A comprehensive AI-powered knowledge base platform. It allows you to create, manage, and share your knowledge base articles in multiple languages. Key features include version control, collaboration tools, and powerful search capabilities.
AI-Powered Chatbots:
Intercom Integrates with your knowledge base and uses machine learning to suggest relevant articles to users.
Self-Service Portals:
Freshdesk Includes a self-service portal with multilingual support, enabling customers to find answers quickly.
Document360 can be integrated with with content translation tools like Crowdin and Phrase Integrations