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What is minigpt-4?

MiniGPT-4 consists of a vision encoder with a pretrained ViT and Q-Former, a single linear projection layer, and an advanced Vicuna large language model. MiniGPT-4 only requires training the linear layer to align the visual features with the Vicuna. The architecture of MiniGPT-4.

What is minigpt V2?

MiniGPT-v2 consists of three components: a visual backbone, a linear projection layer, and a large language model. The architecture of MiniGPT-v2. title={MiniGPT-v2: Large Language Model as a Unified Interface for Vision-Language Multi-task Learning},

How does GPT work?

GPT is not a complicated model and this implementation is appropriately about 300 lines of code (see mingpt/model.py ). All that's going on is that a sequence of indices feeds into a Transformer, and a probability distribution over the next index in the sequence comes out.

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