Sutra Get Started Guide
Welcome! This directory contains hands-on guides and beginner-friendly notebooks to help you quickly get up and running with SUTRA, a family of powerful multilingual language models by TWO AI. SUTRA models excel at conversation, reasoning, and content generation across 50+ languages, with special strengths in Indian and regional contexts.
What You'll Find Here
- Step-by-step setup instructions for using SUTRA with Python and Jupyter/Colab
- First project walkthroughs: Run your first queries and see SUTRA in action
- Prompting best practices: Learn how to get the best results from SUTRA
- Model exploration: Compare SUTRA variants and their capabilities
- Structured output: Techniques for getting JSON and other structured responses
- Reasoning quickstart: Use SUTRA for logical, multi-step problem solving
Included Notebooks
- Sutra Starter Guide (Open in Colab)
- Prompting Guide (Open in Colab)
- Exploring Sutra Models (Open in Colab)
- Structured Output with Sutra (Open in Colab)
- Reasoning Quickstart (Open in Colab)
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!
Next Steps
After completing these getting started materials, check out the main Sutra Cookbook for advanced use cases, integrations, and real-world applications.
For more, visit the Sutra Documentation