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
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.

Avoid wasting valuable time and compute
Easily spot failure and waste with W&B’s 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.

Iterative prompt development
W&B 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.

Large scale dataset exploration
W&B 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.
