AI based AutoComplete for network node configuration

A non-transitory computer-readable medium containing instructions for providing Artificial Intelligence (AI) based AutoComplete for network node configuration, which, when executed, cause the network node to perform steps including:

• predicting a configuration to use for a network node based on a model, wherein predicting the configuration comprises:
• accepting user inputs;
• converting, by a tokenizer, the user inputs into word tokens;
• taking, by the model, the word tokens as input sequences and using transfer learning methods calculating parameters of occurrences of next words;
• and
• ranking the word tokens according to values of their parameters wherein word tokens with a highest value are suggested to a user for auto completion of the network node configuration.

A system for providing Artificial Intelligence (AI) based AutoComplete for network node configuration comprising:

• an interface, including a memory coupled to a processor, accepting user inputs;
• a tokenizer in communication with the interface, converting the user inputs into word tokens;
• a model, in communication with the tokenizer, taking the word tokens as input sequences and using transfer learning methods calculate parameters of occurrences of next words;
• and
• a prediction filter, in communication with the model, ranking the word tokens according to values of their parameters and wherein word tokens with a highest value are suggested to a user for auto completion of the network node configuration for a network node.