Remove AI Modeling Remove Hybrid AI Remove LLM
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Bigger isn’t always better: How hybrid AI pattern enables smaller language models

IBM Journey to AI blog

However, there are smaller models that have the potential to innovate gen AI capabilities on mobile devices. Let’s examine these solutions from the perspective of a hybrid AI model. The basics of LLMs LLMs are a special class of AI models powering this new paradigm.

Hybrid AI 246
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The Best Lightweight LLMs of 2025: Efficiency Meets Performance

ODSC - Open Data Science

Unlike their massive counterparts, lightweight LLMs offer a practical alternative for applications requiring lower computational overhead without sacrificing accuracy. Together in this blog, were going to explore what makes an LLM lightweight, the top models in 2025, and how to choose the right one for yourneeds.

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Decoding How NVIDIA RTX AI PCs and Workstations Tap the Cloud to Supercharge Generative AI

NVIDIA

As the capabilities and use cases for generative AI continue to grow, so does the demand for compute to support it. Hybrid AI combines the onboard AI acceleration of NVIDIA RTX with scalable, cloud-based GPUs to effectively and efficiently meet the demands of AI workloads.

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ODSC West Recap, Slides, and Minisodes Podcast, Open-Source Data Catalogs, and Limitations of LLMs

ODSC - Open Data Science

Understanding the Core Limitations of Large Language Models: Insights from Gary Marcus Gary Marcus, a leading voice and critic of AI, shared his thoughts in a recent podcast, where he explored LLMs’ limitations, the need for hybrid AI approaches, and more.

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Understanding the Core Limitations of Large Language Models: Insights from Gary Marcus

ODSC - Open Data Science

Marcus’s views provide a deep dive into why LLMs, despite their breakthroughs, are not suited for tasks requiring complex reasoning and abstraction. This blog explores Marcus’s insights, addressing LLMs’ inherent limitations, the need for hybrid AI approaches, and the societal implications of current AI practices.