Abstract: The described techniques are directed towards a host virtual machine configured to host a container. In some examples, a system can monitor communication between a container executing on a host virtual machine and the host virtual machine. The host virtual machine can include a first operating system. The container can include a first computer-executable instruction. The system can detect that the first computer-executable instruction is configured to run on a second operating system based on monitoring the communication between the container executing on the host virtual machine and the host virtual machine. The system can further detect a second computer-executable instruction that is configured to run on the first operating system, the second computer-executable instruction can be accessible to the host virtual machine. The system can further include mounting the second computer-executable instruction from the host virtual machine into the container.

Abstract: The described techniques are directed towards a host virtual machine configured to host a container. In some examples, a device can monitor communication between a container executing on a host virtual machine and the host virtual machine. The host virtual machine can include a first operating system. The container can include a first computer-executable instruction. The device can detect that the first computer-executable instruction is configured to run on a second operating system based on monitoring the communication between the container executing on the host virtual machine and the host virtual machine. The device can further detect a second computer-executable instruction that is configured to run on the first operating system, the second computer-executable instruction can be accessible to the host virtual machine. The device can further include mounting the second computer-executable instruction from the host virtual machine into the container.

Abstract: A method, apparatus and system for adapting a language model for understanding domain-specific multimodal content include acquiring domain-specific multimodal content for at least one content domain and applying question/answer pairs to the acquired, domain-specific multimodal content for the at least one content domain to train the language model to learn tasks associated with the domain-specific multimodal content for the at least one domain. As such, the trained language model can be implemented to answer questions directed to the domain-specific multimodal content for the at least one domain.