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Generative models

Generative models are a class of models that generate text, images, or other data. The TrueState platform supports a variety of text-based generative models, including:

  1. Conversation models: These models take a message or sequence of messages as input and generate a response, in a conversational style.
  2. Instruction models: These models take a text sample and a prompt as input and generate a new text output.

Use-cases for text-based generative models​

Text-based generative models are used in a variety of applications, including:

Chatbots: Generating responses to user queries in a conversational style. Content generation: Generating text content for websites, social media, and other platforms. Data augmentation: Generating additional training data for machine learning models. Text summarization: Generating summaries of long text documents. Text cleaning: Generating cleaned versions of text for downstream processes.