Devconf.US

Wen Liang

An engineer focusing on AI/ML.


Session

08-16
11:10
35min
Nmstate Polyglot Model - Translating Natural Language into Nmstate States
Wen Liang

Nmstate is a network management tool that is particularly focused on reporting and configuring network settings on hosts in a declarative manner. It uses a state-driven approach where the desired state of the network settings is described in the YAML file, and applying the desired state using the tool ensures the system's actual state matches the desired state presented in the YAML file.

While it is rather easy for users to describe in natural language what they would like to configure, it can be hard to find the right options or specify the right syntax in the desired states. AI provides a way to translate natural language into Nmstate state in real-time and low latency, which also strictly conforms to the Nmstate setting schema. Implementing the Nmstate Polyglot model can enhance the user experience, making it more intuitive and less daunting than traditional network management tools. What’s more, the Polyglot model can significantly speed up the process of network configuration by reducing the complexity and time required to write and debug YAML configuration files manually. Last but not least, This model can be easily integrated into larger, automated systems, facilitating broader network management tasks within IT environments, possibly through voice commands.

Artificial Intelligence and Data Science
Conference Auditorium (capacity 260)