MiniGPT-4
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About
The recent GPT-4 has demonstrated extraordinary multi-modal abilities. To examine this phenomenon, MiniGPT-4 was developed, aligning a frozen visual encoder with a frozen LLM, Vicuna, using just one projection layer. MiniGPT-4 possesses many capabilities similar to those exhibited by GPT-4, such as detailed image description generation and website creation from hand-written drafts. It also shows emerging capabilities, including writing stories and poems inspired by given images, providing solutions to problems shown in images, and teaching users how to cook based on food photos. To address issues of unnatural language outputs like repetition and fragmentation, a high-quality, well-aligned dataset was curated for finetuning the model with a conversational template, crucial for augmenting its generation reliability and overall usability. The model is highly computationally efficient, as it only requires training a projection layer utilizing approximately 5 million aligned image-text pairs.
Platform
Features
• website creation from hand-written drafts
• computationally efficient, only trains a projection layer
• aligns a frozen visual encoder with a frozen llm (vicuna) using one projection layer
• teaching users how to cook based on food photos
• providing solutions to problems shown in images
• writing stories and poems inspired by given images
• detailed image description generation
• enhances vision-language understanding
Pricing Plans
Free
Free Plan• Enhances vision-language understanding
• Detailed image description generation
• Website creation from hand-written drafts
• Story and poem writing from images
• Problem solving from images
• Cooking instructions from food photos
• Utilizes Vicuna LLM
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