Visual Instruction Tuning Task

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A Visual Instruction Tuning Task is a instruction fine-tuning task that enhances Large Language Models with visual capabilities through instruction-based learning.

  • Context:
    • It can (typically) involve training a pre-trained language model on a dataset containing instructions or prompts paired with visual data, aiming to improve the model's performance on multimodal tasks.
    • It can (often) leverage datasets with paired image-text data or structured tasks that require understanding and responding to visual content.
    • It can enhance models' abilities in Visual Question Answering, Image Captioning, and other tasks requiring joint understanding of text and imagery.
    • ...
  • Example(s):
    • ...
  • Counter-Example(s):
    • Standard language model fine-tuning using only text-based tasks.
    • Direct training on visual tasks without using language-modeling principles or instructions.
  • See: Language Model Fine-Tuning, Multimodal Learning, Instruction-Based Learning.


References

2024