How to Improve AI Recognition in Other Languages?

AskHandle AI supports over 90 languages and can communicate with your customers in any of them. By default, the AI can understand and process information from your training data regardless of its original language, generating responses in the language your customers prefer.

However, languages often have unique nuances, especially when it comes to localized terms, brand names, or cultural expressions. If AskHandle’s recognition or content generation does not meet your expectations in a specific language, you have two options to improve its performance:

1. Upload relevant documents as a data source: With retrieval-augmented generation (RAG), the AI can search through your uploaded documents to generate more accurate and context-aware responses.

2. Create a fine-tuned AI model: If you're working with a lesser-known or small language, you can upload data in that language to fine-tune the AI model. This allows the AI to better understand subtle linguistic nuances and domain-specific terms, improving response accuracy and enhancing customer interactions.

By implementing these options, you can optimize AskHandle’s ability to provide high-quality, localized answers tailored to your customers’ needs.