From Prototype to Production

Scale Your Generative AI: From Prototype to Production

Your step-by-step guide to operationalizing generative AI on Google Cloud

Generative AI is no longer a blue-sky fantasy or a “nice-to-have”—it is essential for remaining competitive. With 61% of enterprises already running Gen AI use cases, we have reached a turning point. But extracting real business value isn’t as simple as typing a query into a model.

At Wursta, we help you navigate the complexities of moving from AI experimentation to real-world production. This comprehensive eBook shares critical learnings from Google Cloud’s two decades of operationalizing AI at scale, helping you build proper governance, reusable components, and a comprehensive AI platform on Vertex AI.

What You’ll Learn in This Guide:

Discover the proven 5-step framework to rev your Gen AI pilots into full production:

Step 1: Choose the Right Model: Learn how to select the best foundation models based on governance, use case, performance, and model capabilities.
Step 2: Start with Evaluation: Shift to “metrics-driven development” by establishing robust test sets and evaluation criteria.
Step 3: Improve Model Behavior: Understand when and how to use customization (like supervised fine-tuning) and augmentation (like RAG and tool chaining) to improve quality, latency, and cost.
Step 4: Release, Validate, and Deploy: Master the CI/CD pipelines, security checks, and deployment strategies needed for a successful launch.
Step 5: Monitor Effectively: Implement continuous observability, unsupervised monitoring, and Responsible AI (RAI) practices to maintain your system’s health.