AISI Onboarding Guide
One stop shop for getting started with Weights & Biases
Created on April 23|Last edited on April 23
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Access Weights & Biases here: https://aisi.wandb.io
Weights and Biases (W&B) 💫YouTube overviewQuick Documentations LinksAn example colabEducationW&B AuthenticationExperiment Tracking (Track and visualize your ML Experiments)W&B Tables (Visualize and query with interactive dataframes)Artifact Tracking and VersioningModel Registry (Register and manage your ML Models)Automations (Trigger workflows with model registry changes)W&B Sweeps (Automate Hyperparameter search)W&B Reports (Rich live and interactive documentation)W&B Weave (For tracking and evaluating LLM applications)Other Useful ResourcesFAQ
Weights and Biases (W&B) 💫
Weights and Biases is a ML Ops platform built to facilitate collaboration and reproducibility across the machine learning development lifecycle. Machine learning projects can quickly become a mess without some best practices in place to aid developers and scientists as they iterate on models and move them to production.
W&B is lightweight enough to work with whatever framework or platform teams are currently using, but enables teams to quickly start logging their important results to a central system of record. On top of this system of record, W&B has built visualization, automation, and documentation capabilities for better debugging, model tuning, and project management.
YouTube overview
Here's an Youtube video with an overview of Weights & Biases and a further one with more of a focus on LLM fine tuning with Registry.
Quick Documentations Links
W&B Artifacts (Tracking and versioning any serialized data): https://docs.wandb.ai/guides/artifacts (Code)
W&B Tables (Visualizing and querying dataframes): https://docs.wandb.ai/guides/data-vis/tables-quickstart (Code)
W&B Reports (Rich live and interactive documentation to describe your findings): https://docs.wandb.ai/guides/reports
An example colab
Education
W&B Authentication
Experiment Tracking (Track and visualize your ML Experiments)
W&B Tables (Visualize and query with interactive dataframes)
Artifact Tracking and Versioning
Model Registry (Register and manage your ML Models)
Automations (Trigger workflows with model registry changes)
W&B Sweeps (Automate Hyperparameter search)
W&B Reports (Rich live and interactive documentation)
W&B Weave (For tracking and evaluating LLM applications)
Other Useful Resources
Import/Export API
Slack Alerts
FAQ
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