arXiv:2410.11331

SHAKTI: A 2.5 Billion Parameter Small Language Model Optimized for Edge AI and Low-Resource Environments

Syed Abdul Gaffar Shakhadri, Kruthika KR, Rakshit Aralimatti

제출 2024-10-15

원문 초록

We introduce Shakti, a 2.5 billion parameter language model specifically optimized for resource-constrained environments such as edge devices, including smartphones, wearables, and IoT systems. Shakti combines high-performance NLP with optimized efficiency and precision, making it ideal for real-time AI applications where computational resources and memory are limited. With support for vernacular languages and domain-specific tasks, Shakti excels in industries such as healthcare, finance, and customer service. Benchmark evaluations demonstrate that Shakti performs competitively against larger models while maintaining low latency and on-device efficiency, positioning it as a leading solution for edge AI.

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arXiv:2506.14084공통 태그 Language Modeling, Language Modelling, Small Language Model공식 코드 · Papers with Code

Lightweight Relevance Grader in RAG

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