A recent comprehensive survey by researchers from Tencent, SJTU, BAAI, and ECNU highlights significant progress in developing efficient Multimodal Large Language Models (MLLMs) that enhance how AI processes and understands multimodal data.
🔍 Key Highlights:
🌟TinyGPT-V, Gemini Nano, MobileVLM: Lightweight models achieving high performance, suitable for mobile and edge computing.
🌟LLaVA-Phi, MoE-LLaVA: Efficient architectures combining vision and language models, offering scalable AI solutions.
🌟SPHINX-Tiny, Bunny, VL-Mamba, Mini-Gemini, DeepSeek-VL: Innovative techniques in vision-language alignment and token compression, driving performance with minimal computational demands.
These models offer:
✅ Resource Efficiency: Operate on limited computational resources without compromising performance.
✅ High Performance: Robust and reliable, excelling in various tasks.
✅ Scalability: Capable of handling increasing data volumes and complex tasks.
✅ Versatility: Effective integration and processing of visual and textual data.
These advancements promise practical, scalable, and efficient AI solutions that have the potential to transform industries like healthcare, finance, and consumer electronics. https://lnkd.in/gAjN6WkP
#AI #MachineLearning #DeepLearning #Innovation #MLLM
Team Lead/ Manager in Trust and Safety | Business Optimization, Cross-functional Collaboration, SLA and KPI management|I help with Leadership and management of a large team to ensure the project meets the client's needs
1moWhen it will be available???