> ## Documentation Index
> Fetch the complete documentation index at: https://docs.fireworks.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Weights & Biases Integration

> Track your Fireworks AI fine-tuning experiments with Weights & Biases

Fireworks AI integrates with [Weights & Biases (W\&B)](https://wandb.ai) to provide observability into your fine-tuning jobs. All training metrics sync in real-time to your W\&B workspace.

## Prerequisites

* W\&B account at [wandb.ai](https://wandb.ai)
* W\&B API key from [wandb.ai/authorize](https://wandb.ai/authorize)

## Integration Guides

<CardGroup cols={2}>
  <Card title="Supervised Fine-Tuning" icon="graduation-cap" href="/fine-tuning/monitor-training#weights-%26-biases-integration">
    Enable W\&B tracking for supervised fine-tuning jobs
  </Card>

  <Card title="Reinforcement Fine-Tuning" icon="robot" href="/fine-tuning/cli-reference#advanced-options">
    Track reinforcement fine-tuning experiments with W\&B
  </Card>

  <Card title="eval-protocol" icon="chart-line" href="/fine-tuning/monitor-training#weights-%26-biases-integration">
    View and analyze your training metrics in W\&B when running RFT with eval-protocol
  </Card>

  <Card title="DPO Fine-Tuning" icon="sliders" href="/tools-sdks/firectl/commands/dpo-job-create#flags">
    Enable W\&B for Direct Preference Optimization jobs
  </Card>
</CardGroup>