Neural networks can be trained to generate text. This example demonstrates how to use a pre-trained language model to complete C programs.
Load a "C" language model from the Wolfram Neural Net Repository.
Write a function to complete each sequence with the most probable next characters and update its probability accordingly.
Use this update function to implement a beam search that builds and selects growing sequences of suggestions until the next delimiter (the space character) is met.
Generate a list of the 10 best completion suggestions.
Display on a grid with their probabilities according to the language model.