How can I feed raw data like images or text directly into a Generative AI model to produce meaningful outputs without heavy preprocessing

Question

With the help of code tell me How can I feed raw data (like images or text) directly into a Generative AI model to produce meaningful outputs without heavy preprocessing?

Answer 1

To feed raw data like images or text directly into a Generative AI model without heavy preprocessing, use architectures like Vision Transformers (ViTs) or Transformer-based language models that process raw inputs with minimal feature engineering.

Here is the code snippet you can refer to:

In the above code we are using the following approaches:

• Uses a Vision Transformer (ViT) model that processes raw images with minimal preprocessing.
• Applies an automatic feature extractor to resize and normalize images for model compatibility.
• Directly feeds raw image data into the model without manual feature engineering.
• Performs classification inference without requiring complex preprocessing pipelines

Hence, modern Generative AI models like ViTs and Transformers efficiently process raw images or text without heavy preprocessing, making feature engineering minimal.