Awesome-Multimodal-Large-Language-Models and Awesome-Multimodal-LLM
These are ecosystem siblings, as both projects curate lists of resources related to multimodal large language models, with BradyFU's being a broader collection of latest advances and HenryHZY's focusing more specifically on LLM-guided multimodal learning trends.
About Awesome-Multimodal-Large-Language-Models
BradyFU/Awesome-Multimodal-Large-Language-Models
:sparkles::sparkles:Latest Advances on Multimodal Large Language Models
This resource helps AI researchers and practitioners stay current with the rapidly evolving field of Multimodal Large Language Models (MLLMs). It provides curated lists of significant research papers, comprehensive surveys, and evaluation benchmarks for MLLMs. The intended users are researchers, students, and engineers who are actively working on or studying advanced AI models that integrate different data types like text, images, and audio.
About Awesome-Multimodal-LLM
HenryHZY/Awesome-Multimodal-LLM
Research Trends in LLM-guided Multimodal Learning.
This resource provides an organized overview of the latest advancements in AI models that can understand and process information from various sources like text, images, and audio. It showcases how these advanced models are being guided by large language models to solve complex, real-world tasks. Researchers and practitioners in AI and machine learning will find this valuable for staying current with cutting-edge developments in multimodal AI.
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