Arize-ai/tutorials

Última atividade de origem registrada: 1 de setembro de 2026 às 15:06

Catálogo do SkillsMP atualizado: 2 de novembro de 2026 às 18:02

skills coletadas: 1

Estrelas no GitHub: 29
Forks no GitHub: 30

Instalar com um assistente de IA

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Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/Arize-ai/tutorials.

README do repositório

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<p align="center"> <a target="_blank" href="https://arize.com" style="background:none"> <img alt="Arize banner" src="https://storage.googleapis.com/arize-assets/arize-logo-white.jpg" width="auto" height="80"></img> </a> <br/> <br/> <a href="https://docs.arize.com/arize/"> <img src="https://img.shields.io/static/v1?message=Documentation&labelColor=grey&color=blue&logoColor=white&label=%20"/> </a> <a target="_blank" href="https://arize-ai.slack.com/join/shared_invite/zt-11t1vbu4x-xkBIHmOREQnYnYDH1GDfCg"> <img src="https://img.shields.io/static/v1?message=Community&logo=slack&labelColor=grey&color=blue&logoColor=white&label=%20"/> </a> <a target="_blank" href="https://twitter.com/arize_ai"> <img src="https://img.shields.io/badge/-ArizeAI-blue.svg?color=blue&labelColor=gray&logo=x"> </a> <a target="_blank" href="https://pypi.org/project/arize/"> <img src="https://img.shields.io/pypi/v/arize?color=blue"> </a> </p> # 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 - [Use TypeSafe Jev as an Arize AX remote evaluator](https://arize.com/docs/ax/cookbooks/evaluate/jev-remote-evaluator) ([runnable Python cookbook](python/cookbooks/jev_remote_evaluator/README.md)) - [Find and fix issues in your AI app with a coding agent](https://arize.com/docs/ax/cookbooks/improve/find-and-fix-issues-with-a-coding-agent) ([runnable Python cookbook](python/cookbooks/find_and_fix_with_coding_agent/README.md)) - **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 Copyright © 2025 Arize AI, Inc. All Rights Reserved 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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check-models

Desenvolvedores de software

Find and update out-of-date OpenAI and Anthropic model references (in docs, MDX, notebooks, and code) to the latest size-equivalent models, and apply the code changes each new generation requires (e.g. max_tokens → max_completion_tokens for GPT-5). Use when…

Idioma do texto original: inglês

2026-09-01

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