Weights & Biases

📖 What is Weights & Biases?

Weights & Biases (W&B) is an MLOps platform that provides experiment tracking, dataset versioning, model evaluation, and LLM fine-tuning monitoring for AI developers.

💡 Why It Matters

W&B is the industry-standard experiment tracking framework relied upon by top AI labs (OpenAI, Meta) during foundation model training.

🎯 Workplace Use Cases

• Tracking loss curves, GPU memory usage, and hyperparameters during LLM fine-tuning
• Versioning training datasets and model weights across team runs
• Evaluating LLM prompt responses against golden benchmark datasets

🚀 How to Use It

Install `wandb` via pip, add `wandb.init()` to your Python training script, and view live training loss metrics on your dashboard.

✨ Key Features

• Experiment tracking for PyTorch, TensorFlow, and Hugging Face
• Dataset and model artifact version control
• W&B Prompts for LLM trace evaluation

💳 Pricing & Plans

Free Tier: Free plan for individuals with 100GB artifact storage.

Plan	Price	Notes
Team	$50/user/month	Shared project dashboards, team access controls.
Enterprise	Custom pricing	Dedicated VPC/on-prem deployment, custom SLAs, SOC2 compliance.