Train large scale models and craft the perfect prompts with Weights & Biases

The most innovative large model teams in the world rely on Weights & Biases to train, track, and tune their large scale and generative models.

Trusted by the teams building the largest models

Heinrich Kuttler
Research Engineer – Facebook AI Research

“For us, Weights and Biases was a game-changer. No other MLOps tool available allows for rapid iteration of AI experiments with the same ease of sharing results, annotating interesting behavior, and long-term storage of logging data. When any issues arose, we found the support team at W&B to be quick and helpful.”

Wojciech Zaremba
Co-Founder – OpenAI

“Weights & Biases moved the AI field from traditionally babysitting a single experiment to managing multiple experiments across many teams spanning entire companies. Collaboration and sharing of scientific insights and results are central tenets of AI today, and only grow more prevalent each day. We are limited as individuals, and can overcome this weakness together.”

Emad Mostaque
CEO and Co-Founder – Stability AI

“Not everyone uses excellent tools like Weights & Biases, for example, to track their runs. We would like to move to more and more open runs so you can actually see how they’re doing. So there’s a lot of work to go, but we’re trying to be as collaborative as possible.”

Train concurrently and collaborate in real-time

From pretraining to fine-tuning, large scale model training requires multiple GPUs, multiple nodes and even High Performance Clusters. No matter how distributed or how many experiments, Weights & Biases scales reliably with your organization. Join OpenAI, Cohere, FAIR, and hundreds of other teams building the large scale models shaping the future of machine learning.

Examples

Avoid wasting dataset and model versioning

Easily spot failure and waste with Weights & Biases’ real-time model metric and system metric monitoring. Analyze edge cases, highlight regressions, and prune hyperparameters to get the best results from the least resources.

Examples

Iterative prompt development

Weights & Biases supports prompt engineering for zero-shot or few-shot tasks by organizing experiments, providing visual and interactive analysis tools, and keeping track of work across chained prompts. It makes exploring a model’s latent space for functional prompts more efficient.

Examples

Large scale dataset exploration

Weights & Biases enables dynamic exploration and optimization of large scale model data, predictions, and outputs. It helps you debug datasets and models for continuous improvement and easily share results with your organization.

Examples

See Weights & Biases in action

Processing Data for LLMs

Evaluating LLMs

DeepMind Flamingo

Unconditional Image Generation

The Weights & Biases end-to-end AI developer platform

Weave

Traces

Debug agents and AI applications

Evaluations

Rigorous evaluations of agentic AI systems

Playground

Explore prompts
and models

Agents

Observability tools for agentic systems

Guardrails

Block prompt attacks and harmful outputs

Monitors

Continuously improve in prod

Models

Experiments

Track and visualize your ML experiments

Sweeps

Optimize your hyperparameters

Tables

Visualize and explore your ML data

Core

Inference

Explore hosted, open-source LLMs

Registry

Publish and share your AI models and datasets

Artifacts

Version and manage your AI pipelines

Reports

Document and share your AI insights

SDK

Log AI experiments and artifacts at scale

Automations

Trigger workflows automatically

The Weights & Biases platform helps you streamline your workflow from end to end

Weave

Traces

Explore and
debug LLMs

Evaluations

Rigorous evaluations of GenAI applications

Train large scale models and craft the perfect prompts with Weights & Biases

Trusted by the teams building the largest models

Train concurrently and collaborate in real-time

Avoid wasting dataset and model versioning

Iterative prompt development

Large scale dataset exploration