# tracebloc

## Docs

- [Define Use Case](https://docs.tracebloc.io/create-use-case/define.md): Create, configure, and publish an AI use case on tracebloc in four steps.
- [Evaluate models](https://docs.tracebloc.io/create-use-case/evaluate-models.md): Compare vendor models side by side on the leaderboard.
- [Prepare Data](https://docs.tracebloc.io/create-use-case/prepare-dataset.md): Learn how to prepare and ingest your datasets into tracebloc using containerized data ingestors. Complete guide for CSV, image, and text data with Kubernetes deployment steps.
- [Prerequisites](https://docs.tracebloc.io/create-use-case/prerequisites.md): Supported data types, tasks, and requirements for creating a use case on tracebloc.
- [Templates](https://docs.tracebloc.io/create-use-case/templates.md): Ready-made use case examples to get started quickly.
- [Configuration](https://docs.tracebloc.io/environment-setup/configuration.md): Customize your tracebloc workspace — environment variables, cluster management, GPU support, and manual Helm deployment.
- [Setting Up EKS Infrastructure Using AWS CLI](https://docs.tracebloc.io/environment-setup/eks-client-deployment-guide.md): Step-by-step guide to deploy Tracebloc on Amazon EKS. Build a production-ready Kubernetes cluster with networking, GPU support, and security using AWS CLI in 1-2 hours.
- [Setup Guide](https://docs.tracebloc.io/environment-setup/setup-guide.md): Detailed walkthrough for deploying a tracebloc workspace — requirements, installer internals, GPU support, and verification.
- [Troubleshooting](https://docs.tracebloc.io/environment-setup/troubleshooting.md): Common issues and debugging commands for your tracebloc workspace.
- [Explore Use Cases](https://docs.tracebloc.io/join-use-case/explore-use-case.md): Understand the use case page: leaderboard, description, EDA, training experiments, submissions and evaluation metrics.
- [Hyperparameters](https://docs.tracebloc.io/join-use-case/hyperparameters.md): Configure your model's training behavior by setting hyperparameters, training parameters, and augmentation options.
- [Join](https://docs.tracebloc.io/join-use-case/join-use-case.md): Learn how to join a use case on the tracebloc platform.
- [Evaluate Model](https://docs.tracebloc.io/join-use-case/model-evaluation.md): Learn how to evaluate your model on the test data and submit it to the leaderboard.
- [Customize Models](https://docs.tracebloc.io/join-use-case/model-optimization.md): Learn the model format requirements, mandatory variables per framework and pre-trained weights for uploading and training models on the tracebloc workspace.
- [Overview](https://docs.tracebloc.io/join-use-case/overview.md): Learn how the tracebloc AI workspace works: explore use cases, train models on private data, and submit models to the leaderboard.
- [Start Training](https://docs.tracebloc.io/join-use-case/start-training.md): Step-by-step guide to training a model on the tracebloc platform.
- [tracebloc](https://docs.tracebloc.io/overview/tracebloc.md): Build better AI together. Without moving data.
- [Frequently Asked Questions](https://docs.tracebloc.io/tools-help/faqs.md): Find answers to common questions about using Tracebloc.
- [Key Terms](https://docs.tracebloc.io/tools-help/key-terms.md): Important terminology and concepts used in Tracebloc.
- [tracebloc Package](https://docs.tracebloc.io/tools-help/tracebloc-package.md): Python library for uploading models, linking them with datasets, configuring training parameters, and launching training runs on the tracebloc platform.

## Optional

- [Website](https://tracebloc.io)
- [Blog](https://tracebloc.io/blog)
- [Platform](https://ai.tracebloc.io)