Train large scale models and craft the perfect prompts with Weights & Biases
Trusted by the teams building the largest models
"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."
"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."
"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.
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.
See W&B in action
Processing Data for LLMs
Evaluating LLMs
DeepMind Flamingo
