W&B ART

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Platform
Models

Experiments
Track and visualize your experiments

Sweeps
Optimize your hyperparameters

Tables
Visualize and explore your data

Reports
Document and share your AI insights
Serverless RL

Serverless RL
Fine-tune LLMs without managing GPUs

Serverless SFT
Teach LLMs new tasks

ART
Open-source RL framework

Ruler
Automated reward function for RL
Serverless Inference

OpenAI OSS
GPT OSS 20B, GPT OSS 120B

Alibaba Qwen3
235B A22B, 235B Thinking, Coder 480B

Meta Llama
Llama 4 Scout, Llama 3.3 70B, Llama 3.1 8B

MoonshotAI Kimi
Kimi K2.5

Microsoft Phi
Phi 4 Mini 3.8B

Hangzhou DeepSeek
DeepSeek V3.1, V3-0324, R1-0528

Z.ai
Z.AI GLM 5.0
Weave

Traces
Explore and debug AI applications

Evaluations
Rigorous evaluations of AI applications

Playground
Explore prompts and models

Monitors
Continuously improve in production
Core

Registry
Publish and share your AI models and datasets

Skills
Skills for coding agents

CoreWeave Sandboxes
Isolated environments to run agents

Automations
Trigger workflows automatically
Solutions
Use Cases

Computer vision

Contact centers

Evaluations

Fine-tune LLMs

Physical AI

RAG

Train LLMs

Quant trading

Industries

Autonomous Vehicles

Communications

Financial Services

Healthcare & Life Sciences

Public Sector

Scientific Research

Case Studies

Canva
Learn how Canva leverages W&B to deploy models

Microsoft
Learn how Microsoft uses W&B for their ML projects

Toyota
Learn how Toyota uses W&B for autonomous driving

OpenAI
Learn how OpenAI Robotics uses W&B for large scale ML
Enterprise
Security

Deployment

Performance

Partners

Support
Resources
AI Courses

AI SideQuest

Blog

Articles

Podcast

Whitepapers

Events & Webinars

Press
Docs
Pricing

Contact

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