With Generative AI Ops, companies have access to a team of experts to help them every step of the way as they turn generative AI prototypes into production workloads
Google Cloud announced Generative AI Ops services. Generative AI Ops aims to help businesses struggling to move new AI-focused workloads into production.
Developments in the field of generative AI have brought along a shortage of experts in this field. As the number of companies showing interest in this field has increased 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. With this service, companies have access to a team of experts who will help them at every stage as they transform generative AI prototypes into production workloads.
According to the information shared, Generative AI Ops offers expertise as well as a technology stack optimized for building AI. In addition, Generative AI Ops provides a comprehensive set of services to develop various models.
Generative AI Ops focuses on the key steps needed to put generative AI into production. These steps include rapid engineering, design and optimization. This ensures that AI models deliver high-quality and accurate outputs.
Techniques offered within Generative AI Ops
Generative AI Ops covers techniques such as ReAct, RAG and chain of thought, which enable augmented production with buyback. Noting that different AI models typically require very different routing structures, Google emphasized the importance of using the right techniques for each model.
In addition, Google will also support companies in performance and system evaluation. Google Cloud Consulting will help customers create an appropriate evaluation framework for each productive AI application.
Support for companies
With the support of Google experts, companies will be able to optimize their AI system architectures and model selection processes. In addition, companies will be able to reduce latency and costs. Moreover, Google offers monitoring and observability features to prevent false outputs and hallucinations.
Finally, Google’s experts will also support business integration and testing. This will ensure that companies’ productive AI models are integrated with their business processes as intended. This will include building cloud environments to host AI models, designing application programming interfaces to manage model interactions, and performing load testing to evaluate model performance.
