To integrate multilingual support into GPT-3, use language detection, translation APIs, and fine-tuning on multilingual datasets to generate accurate responses across various languages.
Here is the code snippet you can refer to:

In the above code we are using the following key points:
- Automatic Language Detection – Uses langdetect to identify the language of user input dynamically.
- Seamless Translation – Implements GoogleTranslator for real-time text translation before and after processing.
- Multilingual GPT-3 Interaction – Ensures GPT-3 processes all queries in English for better accuracy.
- Scalability – Can be extended with fine-tuned multilingual GPT-3 models for improved native language performance.
- Wide Language Support – Works with multiple languages using automated translations, improving accessibility.
Hence, integrating language detection, translation APIs, and multilingual fine-tuning enables GPT-3 to generate accurate responses across various languages, ensuring seamless cross-linguistic interactions.