PROVIDING AN AI-ENABLED NETWORK ASSISTANT FOR COMMAND LINE INTERFACE ENVIRONMENTS

Techniques are presented herein that support a “copilot” for a command-line interface (CLI) in the form of a CLI-driven network assistant that may help a user through the automatic completion of a command; that may provide a one-line summary of the reasons behind a predicted command; and that may recommend expected commands and expected actions for the user, not only for the user’s current request but also considering the specific state of a network. Aspects of the presented techniques may leverage artificial intelligence (AI) technology and large language model (LLM) algorithms

AUGMENTED INSTANT MESSAGING COLLABORATION TOOL ASSISTANT

Collaboration applications, such as messaging applications, are broadly used among enterprises to provide employees with the ability to communicate, share ideas, etc. While useful in many enterprise environments, such messaging applications can be a distraction and may also lead to an inefficient use of time by enterprise employs. In order to address such issues, an instant-messaging collaboration tool assistant system is proposed herein that can be powered by an Artificial Intelligence (AI)/Machine Learning (ML) system, in which the collaboration tool assistant system can provide a personalized collaborative environment for business users by expanding instant messaging collaboration tool capabilities. Through various techniques proposed herein, a personalized, context-based instant-message display can be provided for an enterprise user through which notification recommendations can be provided for the user based on various factors, such as user interest and/or business priorities