Weights & Biases: The AI Developer Platform

What is Weights & Biases?

Weights & Biases is an AI developer platform that provides tools and services for training, fine-tuning, and productionizing AI models. It supports various AI applications, including machine learning (ML) and large language models (LLMs).

Features of Weights & Biases

The platform offers several features, including:

• Experiments: Track and visualize ML experiments to optimize hyperparameters and improve model performance.

• Sweeps: Optimize hyperparameters to find the best combination for your model.

• Launch: Package and run ML workflow jobs to streamline the development process.

• Registry: Publish and share ML models and datasets to collaborate with others.

• Automations: Trigger workflows automatically to automate repetitive tasks.

• Traces: Monitor and debug LLMs and prompts to improve their performance.

• Weave: Develop GenAI applications using a simple and intuitive API.

• Evaluations: Perform rigorous evaluations of GenAI applications to ensure their quality and reliability.

How to Use Weights & Biases

To get started with Weights & Biases, you can follow these steps:

1. Sign up: Create an account on the Weights & Biases website.

2. Install the SDK: Install the Weights & Biases SDK in your Python environment.

3. Initialize a project: Initialize a new project using the wandb command.

4. Track experiments: Use the wandb.log function to track your experiments and visualize the results.

5. Optimize hyperparameters: Use the wandb.sweep function to optimize hyperparameters and find the best combination for your model.

Pricing

Weights & Biases offers a free plan, as well as several paid plans with additional features and support. The pricing details are as follows:

• Free plan: Limited to 100MB of storage and 100 experiments per month.

• Pro plan: $10 per user per month, with 1GB of storage and 1,000 experiments per month.

• Enterprise plan: Custom pricing for large teams and organizations, with additional features and support.

Helpful Tips

Here are some helpful tips for using Weights & Biases:

• Use the wandb command: Use the wandb command to initialize a new project and track your experiments.

• Log metrics: Use the wandb.log function to log metrics and visualize the results.

• Optimize hyperparameters: Use the wandb.sweep function to optimize hyperparameters and find the best combination for your model.

• Collaborate with others: Use the wandb.registry function to publish and share ML models and datasets with others.

Frequently Asked Questions

Here are some frequently asked questions about Weights & Biases:

• What is Weights & Biases?: Weights & Biases is an AI developer platform that provides tools and services for training, fine-tuning, and productionizing AI models.

• How do I get started with Weights & Biases?: To get started with Weights & Biases, you can sign up for an account on the website, install the SDK, and initialize a new project using the wandb command.

• What is the pricing for Weights & Biases?: Weights & Biases offers a free plan, as well as several paid plans with additional features and support. The pricing details are listed above.

• How do I track experiments with Weights & Biases?: You can use the wandb.log function to track experiments and visualize the results.

• How do I optimize hyperparameters with Weights & Biases?: You can use the wandb.sweep function to optimize hyperparameters and find the best combination for your model.