Add MM-LLMs Survey (2024) - Comprehensive Analysis of Multimodal LLM …

resources/2024-01_mm-llms-survey-multimodal-architectures.md

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+# MM-LLMs: Comprehensive Survey of Multimodal Large Language Model Architectures
+
+## Resource Overview
+A systematic analysis of MultiModal Large Language Models (MM-LLMs) architectures, training strategies, and interaction patterns, published in 2024. The paper categorizes 126 MM-LLMs and provides architectural blueprints for cross-modal AI communication.
+
+## Technical Implementation
+```python
+class MultiModalProcessor(nn.Module):
+    def __init__(self, vision_encoder, text_encoder, fusion_layer):
+        super().__init__()
+        self.vision_encoder = vision_encoder
+        self.text_encoder = text_encoder
+        self.fusion_layer = fusion_layer
+
+    def process_multimodal_input(self, image, text):
+        # Extract visual features
+        visual_features = self.vision_encoder(image)
+        # Process text input
+        text_features = self.text_encoder(text)
+        # Multimodal fusion
+        fused_representation = self.fusion_layer(
+            visual_features, 
+            text_features
+        )
+        return fused_representation
+Key Citations
+bibtex
+Copy
+@article{mm-llms2024,
+    title={MM-LLMs: Recent Advances in MultiModal Large Language Models},
+    author={[Authors]},
+    journal={arXiv preprint},
+    year={2024}
+}
+Original Analysis
+The paper's significance for A2A systems lies in three key aspects:
+
+Establishes a standardized taxonomy for multimodal AI architectures, enabling better interoperability between different AI systems
+Documents successful patterns for cross-modal attention mechanisms, critical for A2A communication
+Provides comprehensive evaluation metrics for measuring the effectiveness of multimodal AI interactions
+Benchmarks and Performance
+Evaluated across major multimodal benchmarks
+Includes performance comparisons of different architectural approaches
+Documents training strategies for optimal cross-modal integration
+Resource Links
+Paper
+Project Website
+Implementation Examples
+Tags
+#multimodal #llm #survey #architecture #cross-modal-attention #a2a-communication