Artificial intelligence deployment support from Google Cloud to enterprise companies: Generative AI Ops

Google Cloud announced Generative AI Ops services. Generative AI Opsaims to help businesses that have difficulty bringing new workloads focused on artificial intelligence to production.

Developments in the field of generative artificial intelligence have brought about a shortage of experts in this field. As the number of companies showing interest in this field increases in the last 2 years, the lack of experts and professionals in this field is felt more deeply.

What does Generative AI Ops offer?

Google Cloud Consulting, together with its partners, offers a solution to this lack of expertise with its Generative AI Ops offering. Thanks to this service, companies gain access to a team of experts who will assist them at every stage while transforming productive AI prototypes into production workloads.

According to the information shared, Generative AI Ops offers expertise as well as a technology stack optimized for creating artificial intelligence. In addition, Generative AI Ops also provides a comprehensive set of services to develop various models.

Generative AI Ops focuses on the fundamental steps needed to bring generative AI into production. These steps include rapid engineering, design and optimization. This ensures that artificial intelligence models provide high-quality and accurate outputs.

Techniques offered within Generative AI Ops

Generative AI Ops includes techniques such as ReAct, RAG, and chain-of-thought that enable increased production through buyback. Pointing out that different artificial intelligence models typically require very different routing structures, Google emphasized the importance of using the right techniques for each model.

In addition, Google will support companies in performance and system evaluation. Google Cloud Consulting will help customers create an appropriate evaluation framework for each productive AI application.

Support provided to companies

With the support of Google experts, companies will be able to optimize their artificial intelligence system architectures and model selection processes. With this, companies will be able to reduce delay and costs. Moreover, Google also offers monitoring and observability features to prevent false outputs and hallucinations.

Finally, Google’s experts will also support business integration and testing. In this way, companies’ productive artificial intelligence models will be integrated with their business processes as intended. In this context, tasks such as establishing cloud environments to host artificial intelligence models, designing application programming interfaces to manage model interactions, and performing load testing to evaluate model performance will be performed.