This blueprint extends the NVIDIA AI Blueprint for building data flywheels to demonstrate how observability and experiment tracking can be added to agentic AI workflows.
Weights & Biases enhances the NVIDIA AI Blueprint for building data flywheels by providing advanced traceability for continuous model optimization with real-world data and user feedback. While the blueprint orchestrates automated evaluation and selection of models for optimal latency, cost, and enterprise-grade accuracy, Weights & Biases layers in native traceability, robust experiment tracking, version management, and visualization. The framework enables monitoring, automated retraining, and rapid iteration cycles, accelerating the transition from experimentation to production.
W&B Weave helps customers evaluate, monitor, and iterate on their AI applications to accelerate the development and deployment process. Weave also enables continuous improvement in quality, latency, cost, and safety by running comprehensive evaluations, keeping pace with new models, debugging, and monitoring production performance - all while ensuring secure collaboration.
W&B Models help train, fine-tune, govern, and manage models from experimentation to production, accelerating time to market. It boosts experiment speed and team collaboration to bring models to production faster while ensuring performance, data reliability, and security.
The Weights & Biases blueprint extension achieves the following:
NVIDIA Technology
Please refer to AI Virtual Assistant for Customer Service for the details on the foundational blueprint.
Weights & Biases Technology W&B Weave W&B Models
3rd-Party Technologies
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Use of the models in this blueprint is governed by the NVIDIA AI Foundation Models Community License.
GOVERNING TERMS: This service is governed by the NVIDIA API Trial Terms of Service.