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- Intel® Xeon® 6 Processors: The Smart Total Cost of Ownership Choice
The latest Intel® Xeon® 6 processors deliver performance advantages across key enterprise […]
- Next-Gen AI Inference: Intel® Xeon® Processors Power Vision, NLP, and Recommender Workloads
Intel® Xeon® processors can deliver a CPU-first platform built for modern AI workloads without […]
- Document Summarization: Transforming Enterprise Content with Intel® AI for Enterprise RAG
Transform enterprise documents into insights with Document Summarization, optimized for Intel® […]
- Intel® Xeon® 6 Processors: The Smart Total Cost of Ownership Choice
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Archives de catégorie : Non classé
Seat of Knowledge: AI Systems with Deeply Structured Knowledge
This blog will outline the third class in this classification and its promising role in supporting machine understanding, context-based decision making, and other aspects of higher machine intelligence.
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On the Geometry of Generalization and Memorization in Deep Neural Networks
Our latest work, presented recently at the 2021 International Conference on Learning Representations (ICLR), forces a deep network to memorize some of the training examples by randomly changing their labels.
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Best Practices for Text Classification with Distillation (Part 1/4) – How to achieve BERT results by
Model distillation is a powerful pruning technique, and in many use cases, it yields significant speedup and memory size reduction.
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Best Practices for Text Classification with Distillation (Part 2/4) – Challenging Use Cases
In this blog, I intend to explore this method further and investigate other test classification datasets and sub-tasks in an effort to duplicate these results.
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Learning to Optimize Memory Allocation on Hardware using Reinforcement Learning
We describe a scalable framework that combines Deep RL with genetic algorithms to search in extremely large combinatorial spaces to solve a critical memory allocation problem in hardware.
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Bring your own dataset and retrain a TensorFlow model with OpenVINO™ toolkit
Machine learning requires us to have existing data — not the data our application will use when we run it, but data to learn from.
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Enabling AI Everywhere by Accelerating the Open AI Software Ecosystem
Wei Li, Intel’s VP/GM AI & Analytics, discusses enabling an open AI ecosystem through Intel’s partnerships with Google, HuggingFace, and Accenture at the AI Summit in London.
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Enhance Artificial Intelligence (AI) Workloads with Built-in Accelerators
Intel DL Boost brings accelerated performance without the need for a discrete add-on accelerator.
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Hybrid AI Inferencing managed with Microsoft Azure Arc-Enabled Kubernetes
Azure Arc-Enabled Kubernetes enables centralized management of heterogenous and geographically separate Kubernetes clusters from Azure public cloud.
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OpenVINO™ Toolkit Execution Provider for ONNX Runtime — Installation Now Made Easier
Installation Now Made Easier
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