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feat(multimodal): Add MultiModal-GPT analysis and implementation insi… #92

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26 changes: 26 additions & 0 deletions multimodal-gpt-analysis.md
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# MultiModal-GPT: Advanced Vision-Language Dialogue System Analysis

## Technical Overview

### Core Innovations
1. **Architecture Enhancement**
- Built on OpenFlamingo foundation
- Implements Low-rank Adapter (LoRA) in dual attention mechanisms:
- Gated cross-attention
- Self-attention components
- Optimized for efficient fine-tuning

### Key Technical Components

#### Instruction Tuning Framework
```python
class MultiModalInstructionTuning:
def __init__(self):
self.vision_encoder = VisionEncoder()
self.language_model = LoRAEnhancedLLM()
self.cross_attention = GatedCrossAttention()

def process_instruction(self, image, text):
visual_features = self.vision_encoder(image)
text_features = self.language_model(text)
return self.cross_attention(visual_features, text_features)