Enterprise AI Engineering

1. 1Build a GenAI model using a framework like TensorFlow or PyTorch
2. 2Configure a cloud-based infrastructure to deploy the model
3. 3Test the model's performance using metrics like accuracy and latency
4. 4Apply DevOps principles to monitor and maintain the model in production
5. 5Compare the performance of different GenAI models to choose the best one for the task

AI engineers and data scientists on a team can benefit from this knowledge to develop and deploy scalable AI solutions, while product managers can use this to inform their product strategy

💡 GenAI can be deployed in production environments using cloud-based infrastructure and DevOps principles

Deploy GenAI in production with these expert tips! #AI #GenAI #EnterpriseAI