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Articles récents
- Give Your RAG a Voice: Building an Audio Q&A Experience with Intel® AI for Enterprise RAG
- Reduce Downtime Up To 50% by Utilizing AI-Ready RAS Features of Intel® Xeon® Processors
- How to Fine-Tune an LLM on Intel® GPUs With Unsloth
- Intel® Xeon® Processors Set the Standard for Vector Search Benchmark Performance
- From Gold Rush to Factory: How to Think About TCO for Enterprise AI
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Neural networks news
Intel NN News
- Give Your RAG a Voice: Building an Audio Q&A Experience with Intel® AI for Enterprise RAG
Turn your RAG into a voice-powered assistant with Intel® AI for Enterprise RAG.
- Reduce Downtime Up To 50% by Utilizing AI-Ready RAS Features of Intel® Xeon® Processors
As generative and agentic AI use cases proliferate across nearly every industry, improving the […]
- How to Fine-Tune an LLM on Intel® GPUs With Unsloth
Fine-tuning an LLM doesn’t have to require massive infrastructure. With Unsloth now supporting […]
- Give Your RAG a Voice: Building an Audio Q&A Experience with Intel® AI for Enterprise RAG
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Archives de catégorie : Non classé
Agentic AI: The Dawn of Specialized Small Language Models
Small Language Models (SLMs) are emerging as the nimble, quick-thinking counterparts to LLMs providing specialized knowledge in a way that is lean, fast and cost-effective.
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The Age of With: Rethinking Enterprise Strategy Through Agentic AI
Explore how Agentic AI is reimagining enterprise workflows, industry processes, and leadership priorities with Baris Sarer, Global AI Leader for the Technology, Media, and Telecommunications (TMT) Industry at Deloitte.
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Get Started Accelerating AI on Intel® Xeon®
This blog will introduce a new Intel® AMX Detection Tool that tells you when your platform supports AMX and whether your OS has enabled it.
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Making AI Safer, Simpler, and More Sustainable: Falcons.AI’s Mission in Partnership with Intel
For Falcons.AI COO Bobbi Stattelman, the future of AI isn’t about chasing the next breakthrough at any cost—it’s about building solutions that make the world safer, easier to navigate, and more sustainable. In a landscape crowded with massive models and … Continuer la lecture
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Simplify Physical AI Deployment with Intel® Robotics AI Suite
The next era of robotics innovation is already here…are you ready? The robotics industry is at an inflection point. While robots have long been deployed for narrow, repetitive functions or single tasks, they are evolving into multi-capable systems powered by … Continuer la lecture
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Improving Video Understanding Through Graph-Based AI for Better Human Activity Recognition
Highlights GLEVR, a new graph-based AI framework from Intel and University of Colorado researchers, achieves more than 12% improvement in recognizing fine-grained keystep actions in first-person videos and wins the Ego-Exo4D keystep recognition challenge at CVPR 2025.The system leverages multiple … Continuer la lecture
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Monitoring and Debugging RAG Systems in Production
The article highlights how Intel® AI for Enterprise RAG enables oversight through tools for tracing data flow, performance telemetry, and log analysis. Happy to announce that the Intel® AI for Enterprise RAG version 1.5.0 has just been released.
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Agentic AI in Action: Transforming Health, Education, and Consumer Experiences
From hospital corridors to classroom desks, artificial intelligence is doubling its capabilities every six months—but the real breakthrough isn’t in what AI can do, it’s in how we’re finally making it work responsibly for real people.
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Powering AI-Driven Workflows: Intel’s Vision for the Future of Professional Computing
The race to operationalize AI isn’t about who’s fastest—it’s about who’s smartest. While the tech world obsesses over processing speeds and benchmark scores, enterprise leaders are asking different questions: Can this AI system actually integrate with our existing workflows? Will it … Continuer la lecture
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Deploying Deepseek models on Intel® Gaudi® accelerators using vLLM
Deepseek is a model that utilizes Deepseek Mixture of Experts (MoE) and Multi-Head Latent Attention (MLA). Weights are natively stored in FP8 with block quantization scales.It comes in two forms: V3, which is a standard model, and R1, which is … Continuer la lecture
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