If you browse any serious ML repo, you’ll see:

import wandb

So what does Weights & Biases actually do?

🚀 It's Experiment Tracking

Think of W&B as GitHub for training runs.

It stores: - configs
- hyperparameters
- logs
- metrics
- losses
- validation accuracy

And lets you compare them visually.

🧠 Why It’s Critical

Training ML models is basically: - tweak something
- run the model
- monitor
- compare
- repeat

Without experiment tracking, you’re blind.

🧬 W&B Helps With:

• fine-tuning
• reinforcement learning
• evaluation
• dataset versioning
• model artefact storage

It’s like a flight dashboard for your model.

❗ Should YOU Learn It?

Not required for: - agent systems
- RAG apps
- chatbots
- small tools

BUT extremely useful when: - fine-tuning
- experimenting with embeddings
- benchmarking models

If you ever go deeper into custom ML, W&B becomes your best friend.