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Small language models (SLMs) are compact NLP models optimized for edge devices (smartphones, IoT, embedded systems). With fewer parameters they enable faster, lowālatency onādevice inference, improving privacy by avoiding cloud transfers, reducing energy use and cloud costs, and enabling realātime responses. Use cases include healthcare (summarizing records, assisting diagnoses), automotive voice systems, personalized retail recommendations, and adaptive education tools. Ongoing research promises better context and reasoning; challenges include limited training data and bias, so ethical tuning and domain adaptation are crucial. Organizations should adopt SLMs for efficient, private edge AI.
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Edge computing moves compute and storage closer to usersāCDN PoPs, gateways or devicesāreducing latency, bandwidth and improving resiliency. Gartner predicts ~75% of enterprise data will be created/processed outside traditional datacenters by 2025. T
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Edge AI and Edge Computing: Transforming Technology Edge AI and Edge Computing are revolutionizing how data is processed by enabling local computation on devices, minimizing reliance on centralized cloud servers. Edge computing processes data closer
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Big Tech doubles down on India š„ US tech giants deepen AI investments: Googleās hub, Anthropicās Bengaluru office plan, Qualcommās onādevice AI push with IndiaAI Mission. š¤ Why It Matters ā Capital, talent, and onādevice innovation pipelines stre
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Small Language Models are set to transform AI agents-but only if implemented the right way. By 2027, Gartner predicts task-specific SLMs will be used three times more than general-purpose LLMs. NVIDIA agrees, calling them āthe future of AI agents.ā
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Agentic AIāsystems that act autonomously, are context-aware and learn in real timeāpaired with small language models (SLMs) enables efficient, specialized automation. SLMs are lightweight, fast, fine-tunable for niche domains and accessible to smalle
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š¢š½š²š»šš šš¶š“š»š $šš¬ šššššš¢š” šš š°šµš¶š½ š±š²š®š¹ šš¶ššµ šš²šæš²šÆšæš®š OpenAI has signed a multiyear agreement with AI chipmaker Cerebras to secure 750 megawatts of compute through 2028, to expand its infrastructure for real-t
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Google Unveils AI Edge Gallery: On-Device Generative AI Without Internet Google has launched the AI Edge Gallery, an experimental app that brings cutting-edge Generative AI models directly to your Android device. Once a model is downloaded, all proc
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Software Engineer| B...Ā ā¢Ā 8m
Hi, I'm Somen Samanta, a final-year Computer Science student with a strong foundation in Python, React, MERN stack, and Data Science, and hands-on experience in cloud infrastructure, automation, and scalable software systems. š§ Over the past few y
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š„ Government set to name ~8 Indian teams for foundational model incentives next week ā second-round beneficiaries may include BharatGen; GPU access remains tight as only ~17,374 of planned 34,333 GPUs are installed so far. š¤ Why It Matters ā More
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