# Introducing W&B Serverless SFT: Fine-tune LLMs with no infra headaches

## Core Components

- **Experiments**  
  Track and visualize your ML experiments
- **Sweeps**  
  Optimize your hyperparameters
- **Tables**  
  Visualize and explore your ML data
- **Reports**  
  Visualize and explore your ML data

## Training Options

- **Serverless RL**  
  Fine-tune LLMs without managing GPUs
- **ART**  
  Open-source RL framework
- **Ruler**  
  Automated reward function for RL

## Inference Models

- **OpenAI OSS**  
  GPT OSS 20B, GPT OSS 120B
- **Alibaba Qwen3**  
  23B A22B, 23B5B Thinking, Coder 480B
- **Meta Llama**  
  Llama 4 Scout, 3.3 70B, 3.1 8B
- **MoonshotAI Kimi**  
  Kimi K2
- **Microsoft Phi**  
  Phi 4 Mini 3.8B
- **Hangzhou DeepSeek**  
  DeepSeek V3.1, V3-0324, R1-0528
- **Z.ai**  
  Z.AI GLM 4.5

## Weave Tools

- **Traces**  
  Explore and debug AI applications
- **Evaluations**  
  Rigorous evaluations of AI applications
- **Playground**  
  Explore prompts and models
- **Agents**  
  Observability tools for agentic systems
- **Guardrails**  
  Block prompt attacks and harmful outputs
- **Monitors**  
  Continuously improve in production

## Use Cases

- Train LLMs
- Fine-tune LLMs
- Computer Vision
- Time Series
- Recommender Systems
- Classification & Regression

## Industries Served

- 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

## Additional Resources

- [AI Courses](/content/site/courses/index.html)
- [Blog](/content/fully-connected/index.html)
- [Articles](/content/site/articles/index.html)
- [Podcast](/content/site/resources/podcast/index.html)
- [Whitepapers](/content/site/resources/whitepapers/index.html)
- [Events & Webinars](/content/site/resources/events/index.html)
- [Press](/content/site/press-releases/index.html)

Learn more about Weights & Biases and their offerings to enhance your ML projects.