I feel like I’m missing something with ML.NET.
As a POC before investing serious computer time. I tried creating a CSV file, 2 columns with 1000s of rows:
Greeting,Reply
My name is Jimmy,Hi Jimmy! How are you today?
My name is Sally,Hi Sally! How are you today?
My name is Mike,Hi Mike! How are you today?
The Model Builder has classification models (I don’t believe this is a classification model because I want the thing to be able to predict something new so when it received “My name is Poutine” it will say “Hi Poutine! How are you today?”
I tried anyway and kept getting 0% success on the model.
I came up with another idea, to convert the words to numeric values and then return an array of numeric values.
Doesn’t seem like ML.NET can return arrays very easily. I kept getting errors about invalid schema expecting single Key returns rather than arrays.
When I followed up with Bing AI on this it suggested:
Unfortunately, ML.NET does not currently have built-in support for text generation or sequence-to-sequence models. You may want to consider using a different machine learning framework that supports these capabilities, such as TensorFlow or PyTorch.
Am I getting accurate info from the AI? Should I be looking outside of the MicrosoftSphere for this stuff?
Anything you’d recommend?
I know almost nothing about machine learning, but I think you want to look into Text Transformers or Large Language Models. What you’re describing looks like you’re trying to build a model that would typically be used for classification, which is not how generative text systems work.