Unite.AI

MARCH 22, 2024

Since OpenAI unveiled ChatGPT in late 2022, the role of foundational large language models (LLMs) has become increasingly prominent in artificial intelligence (AI), particularly in natural language processing (NLP). This suggests a future where AI can adapt to new challenges more autonomously.

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IBM Journey to AI blog

APRIL 26, 2024

As large language models (LLMs) have entered the common vernacular, people have discovered how to use apps that access them. Modern AI tools can generate, create, summarize, translate, classify and even converse. However, there are smaller models that have the potential to innovate gen AI capabilities on mobile devices.

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Unite.AI

FEBRUARY 10, 2025

During his time at Google my co-founder, Sushant Tripathy , was deploying speech-based AI models across billions of Android devices. Our ability to smartly split, trim, or decouple AI models allows us to fit 50-100 AI stub models in the memory space of just one quantized model on an end-user device.

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ODSC - Open Data Science

MARCH 13, 2025

As AI continues to evolve, there is growing demand for lightweight large language models that balance efficiency and performance. 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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Marktechpost

JUNE 29, 2024

This exploration of scalable AI for science underscores the necessity of integrating large-scale computational resources with vast datasets to address complex scientific challenges. Spatial decomposition can be applied in many scientific contexts where data samples are too large to fit on a single device.

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ODSC - Open Data Science

APRIL 6, 2023

5 Practical Business Use Cases for Large Language Models LLMs are everywhere now. Let’s take a look at a few practical use cases for large language models and how they can shape your AI endeavors too. Check out some more highlights in the full schedule here!

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ODSC - Open Data Science

NOVEMBER 21, 2024

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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