feat(multimodal): Add MultiModal-GPT paper with A2A implementation ex… #97
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…amples ## Description This PR adds MultiModal-GPT paper to the repository, focusing on its novel contributions to A2A communication through multimodal interactions. The paper demonstrates significant advancements in cross-modal context preservation and standardized message passing between AI agents. ### Changes Made - Added detailed analysis of MultiModal-GPT paper - Included practical implementation code for A2A message passing - Added performance metrics and key features - Structured content following repository guidelines ### Research Sources - Original paper on ArXiv - Implementation details from paper supplements - Performance metrics from experimental results ### Why This Addition Matters MultiModal-GPT represents a significant advancement in A2A communication by solving critical challenges in multimodal interaction between AI agents. Its architecture enables seamless integration of visual and textual information while maintaining contextual coherence, making it a valuable reference for developers working on A2A systems. ### Technical Details - Includes example code for multimodal message passing - Demonstrates context preservation mechanisms - Shows practical implementation of attention mechanisms ### Checklist - [x] Verified paper's novelty and significance - [x] Provided original analysis - [x] Included technical implementation details - [x] Maintained repository structure - [x] Added clear performance metrics - [x] Ensured proper formatting
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…amples
Description
This PR adds MultiModal-GPT paper to the repository, focusing on its novel contributions to A2A communication through multimodal interactions. The paper demonstrates significant advancements in cross-modal context preservation and standardized message passing between AI agents.
Changes Made
Research Sources
Why This Addition Matters
MultiModal-GPT represents a significant advancement in A2A communication by solving critical challenges in multimodal interaction between AI agents. Its architecture enables seamless integration of visual and textual information while maintaining contextual coherence, making it a valuable reference for developers working on A2A systems.
Technical Details
Checklist