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MiniGPT-4

lastmod 2023-04-18created 2023-04-181 edits

Enhancing vision-language understanding with advanced LLMs

Features

  • Provides new vision-language capabilities similar to those demonstrated in GPT-4
    • Describes images in detail, explains how to cook a dish from a food photo, finds problems, writes ad copy, and writes stories and poems inspired by images
  • Shows excellent performance just by connecting BLIP-2 and Vicuna with a single projection layer
  • Trained in 2 stages
    • Trained on 5 million image-text pairs with 4 A100s for 10 hours. After this stage alone Vicuna understands images, but its generation ability is heavily affected
    • To solve the problem and improve usability, proposes a new method of generating high-quality image-text pairs using the model itself together with ChatGPT
    • Based on this, creates a small (3,500 pairs in total) high-quality dataset
    • In the second fine-tuning stage, trains on this small dataset with a conversational template to improve generation reliability and overall usability
    • Surprisingly, this stage is computationally efficient and takes only 7 minutes on a single A100

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