Google Cloud's consulting division has announced the launch of a new service called "Generative AI Ops" aimed at helping businesses that struggle to leverage the latest advancements in artificial intelligence and deploy new workloads into production. According to a blog post by Google Cloud, deploying AI workloads into production is not an easy task and requires a deep understanding of concepts such as generative AI system design, large-scale language model architecture, prompt engineering, and evaluation. The problem is that the rapid expansion of the generative AI ecosystem has led to a shortage of experts. Generative AI has become a top priority for thousands of companies, but just two years ago, hardly anyone had heard of it. It wasn't until the emergence of OpenAI's ChatGPT, which showcased the immense potential of this technology, that people suddenly became interested in it. Through its "Generative AI Ops" service, Google Cloud Consulting and its partners provide a solution to this lack of specialized knowledge by offering businesses access to an expert team that can assist them at every stage of transforming generative AI prototypes into production workloads. According to Google Cloud, "Generative AI Ops" not only provides specialized knowledge but also offers an optimized technology stack for building AI and a wide range of services for developing extensive models. It is said that "Generative AI Ops" specifically focuses on the key steps required to deploy generative AI into production. These steps include prompt engineering, design, and optimization, which are crucial for ensuring high-quality and accurate outputs from AI models. Furthermore, Google also provides assistance in performance and system evaluation. It explains that AI models must be continuously evaluated to improve performance and ensure accuracy. To achieve this, Google Cloud Consulting aims to help clients establish appropriate evaluation frameworks for each generative AI application. The next step is model optimization and continuous refinement, which refers to the ongoing work of improving generative AI models once they are running in a production environment. Google states that its experts can assist clients in optimizing AI system architecture, model selection processes, reducing latency, and costs, among other aspects. Monitoring and observability are another fundamental feature offered by Google. The company states that it will collaborate with clients to create the necessary observability tools to continuously monitor the performance of generative AI models and mitigate inaccuracies and "hallucination" phenomena. Lastly, Google's experts will also support business integration and testing to ensure that clients' generative AI models integrate with their business processes as expected. Tasks in this area include setting up cloud environments to host AI models, designing application interfaces to manage model interactions, and conducting load testing to evaluate model performance. Google states that the Generative AI Ops program will be combined with various training courses, practice labs, and boot camps within the Google Cloud Skills Boost platform, allowing companies to train their own employees to master generative AI.