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Centralized location for all Arize tutorials, in different languages and frameworks

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# Arize Tutorials

This repository contains tutorials and examples demonstrating how to leverage Arize for your AI observability needs across:

- **Tracing** - Understand your LLM and ML systems with comprehensive traces
- **Evaluations** - Benchmark and improve your models with advanced evaluation techniques
- **Datasets** - Create and manage datasets for testing and fine-tuning
- **Experiments** - Track changes and compare performance across model versions
- **Guardrails** - Implement safeguards for responsible AI deployment

## Getting Started

You can run these tutorials in your preferred environment:

1. **Local Setup** - Clone this repo and run notebooks locally
2. **Google Colab** - Open any tutorial directly in Google Colab ([links](https://docs.arize.com/arize/examples))

## Additional Resources

- [Documentation](https://docs.arize.com/arize)
- [Example Gallery](https://docs.arize.com/arize/examples)
- [Blog](https://arize.com/blog)
- [Community Slack](https://arize-ai.slack.com/join/shared_invite/zt-11t1vbu4x-xkBIHmOREQnYnYDH1GDfCg)

## License

Portions of this code are patent protected by one or more U.S. Patents. See the [IP_NOTICE](https://github.com/Arize-ai/phoenix/blob/main/IP_NOTICE).

This software is licensed under the terms of the Elastic License 2.0 (ELv2). See [LICENSE](https://github.com/Arize-ai/phoenix/blob/main/LICENSE).

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