Weights & Biases

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

Use Cases

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

Industries

• Autonomous Vehicles
• Communications
• Financial Services
• Healthcare & Life Sciences
• Public Sector
• Scientific Research

Case Studies

• Canva
• Microsoft
• Toyota
• OpenAI

AI agent observability

• Evaluations
• Agents
• Inference
• Safety and scoring

Build models

• Computer Vision
• NLP
• MLOps
• LLM

About Weights & Biases

• Integrations
• W&B releases
• Events
• Podcast

Recent Reports

• Track, guard, and remediate AI usage with W&B Weave and CrowdStrike Falcon AIDR
  Read More
  Jul 15, 2026

• Tabular ML didn't die. It was just waiting for agents
  Read More
  Jul 06, 2026

• Introducing CoreWeave ARIA: AI Research and Iteration Agent
  Read More
  Jun 29, 2026

• We'll be at the AI Engineer World's Fair - Come Say Hi
  Read More
  Jun 25, 2026

• How to structure effective Agent Skills and evaluate whether they actually work
  Read More
  Jun 23, 2026

• ART-Optimized Megatron (AOM): 12x higher training throughput
  Read More
  Jun 23, 2026

• Building a production-grade MLOps pipeline for VLA models
  Read More
  Jun 11, 2026

• Getting started with embodied chain-of-thought (ECoT)
  Read More
  Jun 11, 2026

• Governance workflows for AI agents: an evidence-backed review gate on W&B Weave
  Read More
  Jun 08, 2026

• Tutorial: Benchmarking Claude Opus 4.8 honesty with BeHonest and W&B Weave
  Read More
  Jun 05, 2026

Iterate on AI agents and models faster. Try Weights & Biases today.