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Articles récents
- 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
- A Practical Guide to CPU-Optimized LLM Deployment on Intel® Xeon® 6 Processors on AWS.
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Neural networks news
Intel NN News
- 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 […]
- Intel® Xeon® Processors Set the Standard for Vector Search Benchmark Performance
In real-world vector search performance tests, Intel® Xeon® server architectures outperform AMD […]
- Reduce Downtime Up To 50% by Utilizing AI-Ready RAS Features of Intel® Xeon® Processors
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Archives mensuelles : mai 2023
Breast Cancer Detection using Modin and scikit-learn* (sklearn): Developer Spotlight
Learn about a proposed solution to Breast Cancer Detection
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Diabetes Detection using Modin and scikit-learn* (sklearn): Developer Spotlight
Learn about a proposed solution to Diabetes Detection
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PyTorch New York Meetup (Virtual) on June 7th
Learn why you want to sign up to virtually attend the NYC PyTorch Meetup on Wednesday, June 7, 2023
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Deploy Accelerated Distributed AI Applications on the AWS Cloud
Capitalize on distributed architectures based on Kubernetes* with Intel® optimized AI software and hardware.
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Face Mask Detection using scikit-learn* (sklearn): Developer Spotlight
Highlights from Ripan Roy blog proposing a solution to Face Mask Detection
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Sign Language Recognition using scikit-learn* (sklearn): Developer Spotlight
Learn about Sign Language Recognition technology that recognizes actions from sign languages
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AMX Support for Mixed-precision Training and Inference Now Available in TensorFlow* 2.12
Take advantage of mixed precision to make DL models run faster during training and inference
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Intel Labs Details Latest Innovations in Deep Learning at ICLR 2023
The International Conference on Learning Representations (ICLR) 2023 will run from May 1st through 5th in Kigali, Rwanda. Intel Labs’ innovations in model linearization include a three-stage training method that trains a DNN model with significantly fewer rectified linear units … Continuer la lecture
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