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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. Is hybrid AI the answer?

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Meet MambaFormer: The Fusion of Mamba and Attention Blocks in a Hybrid AI Model for Enhanced Performance

Marktechpost

The crux of this investigation lies in enhancing AI models’ ICL capabilities, a feature that allows them to learn new tasks through a few examples without the need for extensive parameter optimization. This capability is critical for developing more versatile and efficient AI systems.

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AI Learns from AI: The Emergence of Social Learning Among Large Language Models

Unite.AI

Saving Resources: This approach allows for more efficient use of resources, as models learn from each other's experiences without needing direct access to large datasets. Decentralized Learning : The idea of AI models learning from each other across a decentralized network presents a novel way to scale up knowledge sharing.

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AI News Weekly - Issue #338: Marvel faces backlash over AI-generated opening credits - Jun 22nd 2023

AI Weekly

Powered by elevateai.com In the News Marvel faces backlash over AI-generated opening credits Marvel’s Secret Invasion, a new television series which launched on Disney+ this week, has received backlash online after it was revealed that its opening credits were generated by aAI. gizchina.com AI in Packaging Market is expected to hit US$ 6,015.6

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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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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.

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Role of LLMs like ChatGPT in Scientific Research: The Integration of Scalable AI and High-Performance Computing to Address Complex Challenges and Accelerate Discovery Across Diverse Fields

Marktechpost

This exploration of scalable AI for science underscores the necessity of integrating large-scale computational resources with vast datasets to address complex scientific challenges. The evolution of AI for science includes the development of hybrid AI-simulation workflows, such as cognitive simulations (CogSim) and digital twins.