title: SHAKTI: A 2.5 Billion Parameter Small Language Model Optimized for Edge
    AI and Low-Resource Environments
summary: 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.
paper_authors._id: 67161f7b092a4eca797430b0
paper_authors.name: Syed Abdul Gaffar Shakhadri
paper_authors.status: claimed_verified
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paper_authors.fullname: Syed Abdul Gaffar Shakhadri
paper_authors.type: user
paper_authors.user: SyedAbdul
paper_authors._id: 67161f7b092a4eca797430b1
paper_authors.name: Kruthika KR
paper_authors.status: claimed_verified
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paper_authors.fullname: Kruthika
paper_authors.type: user
paper_authors.user: kruthika
paper_authors._id: 67161f7b092a4eca797430b2
paper_authors.name: Rakshit Aralimatti
paper_authors.status: extracted_confirmed
paper_authors.statusLastChangedAt: 2024-10-21T17:42:54.054Z
paper_authors._id: 64e6103398cb11ef1023f1fd
paper_authors.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/no-auth/DVqwwilKU-ayTsThq6UrE.png
paper_authors.fullname: Rakshit Aralimatti
paper_authors.type: user
paper_authors.user: RakshitAralimatti
paper_title: SHAKTI: A 2.5 Billion Parameter Small Language Model Optimized for Edge
    AI and Low-Resource Environments
paper_summary: 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.
paper_ai_keywords: language model resource-constrained environments edge devices smartphones wearables IoT systems high-performance NLP optimized efficiency real-time AI applications computational resources low latency on-device efficiency vernacular languages domain-specific tasks