Users running a quantized 7B model on a laptop expect 40+ tokens per second. A 30B MoE model on a high-end mobile device ...
Abstract: Real-time autonomous control of decentralized drone swarms in dynamic and cluttered environments remains a significant challenge. This paper presents a natural language-driven framework that ...
The Nephoran Intent Operator is a proof-of-concept cloud-native platform that demonstrates the potential of intent-driven telecommunications orchestration. This MVP showcases how natural language ...
Abstract: Multi-modal large language models have demonstrated impressive performances on most vision-language tasks. However, the model generally lacks the understanding capabilities for specific ...
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