> ## Documentation Index
> Fetch the complete documentation index at: https://wb-21fd5541-serverless-sft-revamp.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Tutorials overview

> Get started using W&B with interactive tutorials.

## Fundamentals

The following tutorials take you through the fundamentals of W\&B for machine learning experiment tracking, model evaluation, hyperparameter tuning, model and dataset versioning, and more.

<CardGroup cols={2}>
  <Card title="Track experiments" href="/models/tutorials/experiments/">
    Use W\&B for machine learning experiment tracking, model checkpointing, collaboration with your team and more.
  </Card>

  <Card title="Visualize predictions" href="/models/tutorials/tables/">
    Track, visualize, and compare model predictions over the course of training, using PyTorch on MNIST data.
  </Card>
</CardGroup>

<CardGroup cols={2}>
  <Card title="Tune hyperparameters" href="/models/tutorials/sweeps/">
    Use W\&B Sweeps to create an organized way to automatically search through combinations of hyperparameter values such as the learning rate, batch size, number of hidden layers, and more.
  </Card>

  <Card title="Track models and datasets" href="/models/tutorials/artifacts/">
    Track your ML experiment pipelines using W\&B Artifacts.
  </Card>
</CardGroup>

## Popular ML framework tutorials

See the following tutorials for step by step information on how to use popular ML frameworks and libraries with W\&B:

<CardGroup cols={2}>
  <Card title="PyTorch" href="/models/tutorials/pytorch">
    Integrate W\&B with your PyTorch code to add experiment tracking to your pipeline.
  </Card>

  <Card title="HuggingFace Transformers" href="/models/tutorials/huggingface">
    Visualize your Hugging Face model’s performance quickly with the W\&B integration.
  </Card>
</CardGroup>

<CardGroup cols={2}>
  <Card title="Keras" href="/models/tutorials/tensorflow">
    Use W\&B and Keras for machine learning experiment tracking, dataset versioning, and project collaboration.
  </Card>

  <Card title="XGBoost" href="/models/tutorials/xgboost_sweeps/">
    Use W\&B and XGBoost for machine learning experiment tracking, dataset versioning, and project collaboration.
  </Card>
</CardGroup>

## Other resources

Visit the W\&B AI Academy to learn how to train, fine-tune and use LLMs in your applications. Implement MLOps and LLMOps solutions. Tackle real-world ML challenges with W\&B courses.

* Large Language Models (LLMs)
  * [LLM Engineering: Structured Outputs](https://www.wandb.courses/courses/steering-language-models?utm_source=wandb_docs\&utm_medium=code\&utm_campaign=tutorials)
  * [Building LLM-Powered Apps](https://www.wandb.courses/courses/building-llm-powered-apps?utm_source=wandb_docs\&utm_medium=code\&utm_campaign=tutorials)
  * [Training and Fine-tuning Large Language Models](https://www.wandb.courses/courses/training-fine-tuning-LLMs?utm_source=wandb_docs\&utm_medium=code\&utm_campaign=tutorials)
* Effective MLOps
  * [Model CI/CD](https://www.wandb.courses/courses/enterprise-model-management?utm_source=wandb_docs\&utm_medium=code\&utm_campaign=tutorials)
  * [Effective MLOps: Model Development](https://www.wandb.courses/courses/effective-mlops-model-development?utm_source=wandb_docs\&utm_medium=code\&utm_campaign=tutorials)
  * [CI/CD for Machine Learning (GitOps)](https://www.wandb.courses/courses/ci-cd-for-machine-learning?utm_source=wandb_docs\&utm_medium=code\&utm_campaign=tutorials)
  * [Data Validation in Production ML Pipelines](https://www.wandb.courses/courses/data-validation-for-machine-learning?utm_source=wandb_docs\&utm_medium=code\&utm_campaign=tutorials)
  * [Machine Learning for Business Decision Optimization](https://www.wandb.courses/courses/decision-optimization?utm_source=wandb_docs\&utm_medium=code\&utm_campaign=tutorials)
* W\&B Models
  * [W\&B 101](https://wandb.ai/site/courses/101/?utm_source=wandb_docs\&utm_medium=code\&utm_campaign=tutorials)
  * [W\&B 201: Model Registry](https://www.wandb.courses/courses/201-model-registry?utm_source=wandb_docs\&utm_medium=code\&utm_campaign=tutorials)