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Articles récents
- Bringing Polish AI to Life: Running Bielik LLMs Natively on Intel® Gaudi® 3 Accelerators
- Optimizing SLMs on Intel® Xeon® Processors: A llama.cpp Performance Study
- Intel® Xeon® 6 Processors: The Smart Total Cost of Ownership Choice
- Next-Gen AI Inference: Intel® Xeon® Processors Power Vision, NLP, and Recommender Workloads
- Document Summarization: Transforming Enterprise Content with Intel® AI for Enterprise RAG
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Neural networks news
Intel NN News
- Bringing Polish AI to Life: Running Bielik LLMs Natively on Intel® Gaudi® 3 Accelerators
From community curiosity to real-world inference – showing how local language models run with […]
- Optimizing SLMs on Intel® Xeon® Processors: A llama.cpp Performance Study
In this post, we'll dicuss how to run responsive, CPU-only applications using a quantized SLM in […]
- Intel® AI for Enterprise Inference as a Deployable Architecture on IBM Cloud
Intel® AI for Enterprise Inference as a Deployable Architecture on IBM CloudAuthored by: Pai […]
- Bringing Polish AI to Life: Running Bielik LLMs Natively on Intel® Gaudi® 3 Accelerators
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Archives de catégorie : Non classé
Intel® Xeon® trains Graph Neural Network models in record time
The 4th gen Intel® Xeon® Scalable Processor, formerly codenamed Sapphire Rapids is a balanced platform for Graph Neural Networks (GNN) training, accelerating both sparse and dense compute. In this article, Intel CPU refers to 4th gen Intel® Xeon® Scalable Processor … Continuer la lecture
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Intel Xeon is all you need for AI inference: Performance Leadership on Real World Applications
Intel is democratizing AI inference by delivering a better price and performance forreal-world use cases on the 4th gen Intel® Xeon® Scalable Processors, formerly codenamed Sapphire Rapids. In this article, Intel® CPU refers to 4th gen Intel® Xeon® Scalable Processors. … Continuer la lecture
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JUMP and Intel Labs Success Story: UCSD Professor Leads HD Computing Research Efforts
For the past five years at the JUMP CRISP Center at UCSD, Professor Tajana Simunic Rosing has led hyperdimensional computing research efforts to solve memory and storage challenges in COVID-19 wastewater surveillance and personalized recommendation systems.
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Democratizing Generative AI for Medicine
Add domain-specific knowledge to foundation AI models without the AI training costs or expertise.
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Accelerate Workloads with OpenVINO and OneDNN
OpenVINO utilizes oneDNN GPU kernels for discrete GPUs to accelerate compute-intensive workloads
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Can we Improve Early-Exit Transformers? Novel Adaptive Inference Method Presented at ACL 2023
Intel Labs and the Hebrew University of Jerusalem present SWEET, an adaptive Inference method for text classification at this year’s ACL conference.
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Chronic Kidney Disease Risk Prediction using Modin and scikit-learn* (sklearn): Developer Spotlight
Developer Spotlight: Arnab Das proposed a solution to Chronic Kidney Disease Risk Prediction
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Are all Transformer Layers Necessary? Novel Adaptive Inference Method Presented at ACL 2023
Intel Labs and the Hebrew University of Jerusalem present SWEET, an adaptive Inference method for text classification at this year’s ACL conference.
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IT Requirements for Effective AI Planning
According to a whitepaper from ABi Research, every AI investment must be a forward-looking business decision. As the 2020s are shaping up as the decade of Artificial Intelligence, businesses have increased their AI budgets significantly.
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Enterprise AI: Growing Momentum, But Who is Driving?
According to a survey and white paper from Omdia Consulting, the focus is shifting towards the developer’s role in creating, implementing, and maintaining diverse AI models that can be efficiently developed and trained, and that are compatible with various software … Continuer la lecture
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