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Articles récents
- Starting with Production in Mind: A Blueprint for Affordable Enterprise-Grade RAG on VMware Tanzu
- Running the AI Factory: How Enterprises Operationalize AI Placement at Scale
- Intel® Xeon® 6 Processors: The Ultimate Host CPU Solution for AI-Accelerated Systems and Agentic AI
- Agentic Code Execution: A Leaner Way to Build AI Agents with Open Models
- CPU Overload Despite Having iGPU: Here’s Why?
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Neural networks news
Intel NN News
- Starting with Production in Mind: A Blueprint for Affordable Enterprise-Grade RAG on VMware Tanzu
Enterprise AI on CPUs: Intel & T‑Systems prove RAG runs cost‑effectively without GPUs.
- Intel® Xeon® 6 Processors and Intel® AMX Deliver More Concurrent Users with NVIDIA HGX B200 Systems
This blog introduces a heterogeneous architecture that co-runs vLLMs on both CPUs and GPUs to […]
- Speed-up JAX LLM Training on Intel® Xeon® 6 CPU: Activation Offloading on Heterogeneous Systems
JAX-based Activation Offloading on Intel® Xeon® 6 with P-cores systems offers an effective […]
- Starting with Production in Mind: A Blueprint for Affordable Enterprise-Grade RAG on VMware Tanzu
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Archives mensuelles : octobre 2024
Insights from our Workshop on Inference of Multimodal Models at Intel® Liftoff Days 2024
At Intel® Liftoff Days 2024, mentor Rahul Nair led an engaging workshop on the Inference of Multimodal Models. Dive into the cutting-edge AI techniques he shared, exploring how startups can leverage multimodal data for enhanced performance and real-world applications.
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Synthetic Data And Other Tricks To Speed Up Your Development
During the Intel® Liftoff Days 2024 hackathon, a series of hands-on workshops provided participants with deep insights into cutting-edge AI technologies and methodologies. Let’s unpack what happened in the first workshop.
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Intel Talks at the PyTorch 2024 Conference
Did you miss the PyTorch* Conference held in September of this year? Intel was a Diamond Sponsor for this conference and contributed multiple talks. In this blog, we summarize three talks given by Intel and congratulate the winner and nominee … Continuer la lecture
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Developers Utilized Intel® AI Technologies at the University of Michigan’s MHacks’24 Hackathon
Top projects on Intel® Tiber™ AI Cloud and AI PCs at University of Michigan’s MHacks 2024 hackathon
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Free Multimodal RAG Course: Prediction Guard Partners with Intel® Labs and DeepLearning.AI
Ready to take your AI skills to the next level? PredictionGuard, in partnership with Intel® Labs and DeepLearning.AI, is offering a free course on multimodal RAG systems. Learn how to build smart question-answering systems that integrate video, images, and text. … Continuer la lecture
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Intel Labs Introduces RAG-FiT Open-Source Framework for Retrieval Augmented Generation in LLMs
Intel Labs introduces RAG-FiT, an open-source framework for augmenting large language models for retrieval-augmented generation use cases.
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Innovate with Intel® AI Technologies at the University of Washington’s DubHacks’24 Hackathon
Leverage Intel® Tiber™ AI Cloud and AI PC at the University of Washington’s DubHacks’24 hackathon
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Transforming Skin Health Diagnosis using LLMs and Intel AI Solutions: Developer Spotlight
Skin Diseases affect people globally and have widespread effects on physical health and emotional well-being. One of the significant challenges is diagnosing rare skin health cases. The role of AI powered algorithms and LLM models have emerged as valuable tools … Continuer la lecture
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The AI Developer’s Dilemma: Proprietary AI vs. Open Source Ecosystem
Fundamental Choices Impacting Integration and Deployment at Scale of GenAI into Businesses
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Introduction to Getting Faster PyTorch* Programs with TorchDynamo
In this webinar, learn about new computational graph capture features in PyTorch* 2.0, with a focus on TechDynamo.
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