Sutra Multilingual Capabilities Guide
Welcome! This directory demonstrates the powerful multilingual capabilities of SUTRA, a family of advanced language models by TWO AI. SUTRA excels at understanding and generating content in 50+ languages, with special strengths in Indian, Asian, European, and African languages. Whether you need translation, code-switching, sentiment analysis, or creative writing, SUTRA is designed for global and regional applications.
What You'll Find Here
- Comprehensive multilingual demo notebook: Explore SUTRA's performance across Indian and international languages
- Language-specific notebooks: Hands-on examples for individual Indian and foreign languages
- Best practices: Tips for getting the most out of SUTRA in multilingual scenarios
Included Notebooks
Indian Language Demos
Foreign Language Demos
Prerequisites
- Basic Python programming knowledge
- Familiarity with Jupyter or Google Colab (recommended)
- Get your SUTRA API key (free for signup)
How to Use
- Open any notebook above in Google Colab (recommended) or your local Jupyter environment.
- Install dependencies (see the first cell in each notebook).
- Add your SUTRA API key when prompted (Colab: use the secret manager for best security).
- Run the cells and experiment!
Key Multilingual Features
- Translation between dozens of language pairs
- Code-switching and mixed-language content handling
- Cross-lingual understanding and reasoning
- Multilingual content generation
- Sentiment analysis and creative writing in multiple languages
Best Practices
- Specify the target language for best results
- Consider cultural context in prompts and outputs
- Test across multiple languages for robustness
- Use code-switching for real-world, mixed-language scenarios
Resources
For more, visit the Sutra Documentation