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The Best Lightweight LLMs of 2025: Efficiency Meets Performance

ODSC - Open Data Science

For On-Device AI : TinyLlama and Gemma 2B are the best options for mobile and edge computing. Future Trends in Lightweight LLMs The rise of lightweight LLMs is driven by several keytrends: Hybrid AI: Combining local AI models with cloud-based inference for optimal efficiency.

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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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Graph Viz with Gephi and ChatGPT, Google’s Bard AI, and Reverse Engineering Image Prompts

ODSC - Open Data Science

Graph Viz: Exploring, Analyzing, and Visualizing Graphs and Networks with Gephi and ChatGPT ChatGPT can do a lot with text, but how can it help with data viz? Here, we look at how you can analyze a global AI research community using Gephi and ChatGPT. 5 Practical Business Use Cases for Large Language Models LLMs are everywhere now.

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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. Led Global AI Alliance, the latest in AI investments, & more.

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

ODSC - Open Data Science

This blog explores Marcus’s insights, addressing LLMs’ inherent limitations, the need for hybrid AI approaches, and the societal implications of current AI practices. The Case for Hybrid AI Models A significant portion of Gary Marcus’s discussion revolves around hybrid AI as a necessary evolution.

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Give AI a Look: Any Industry Can Now Search and Summarize Vast Volumes of Visual Data

NVIDIA

NVIDIA AI Blueprint Harnesses Vision Language Models Visual AI agents are powered by vision language models (VLMs) , a class of generative AI models that combine computer vision and language understanding to interpret the physical world and perform reasoning tasks.