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Articles récents
- Transform your AI Applications with Agentic LLM Workflows
- 3 Recent Updates to the Intel Tiber AI Cloud for Developers
- Predictive Tool Maintenance: oneAPI Enhances Aerospace Industry Application for Manufacturing
- GenAI Winner Projects Built on Intel® Tiber™ AI Cloud at 2024 Collegiate Hackathons
- Optimize LLM serving with vLLM on Intel® GPUs
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Neural networks news
Intel NN News
- Transform your AI Applications with Agentic LLM Workflows
Highlights from Intel AI DevSummit Tech Talk: Building Agentic LLM Workflows with AutoGen
- 3 Recent Updates to the Intel Tiber AI Cloud for Developers
Unlock AI's potential with Intel Tiber AI Cloud: new PyTorch, oneAPI updates, DeepSeek-R1, Whisper […]
- Predictive Tool Maintenance: oneAPI Enhances Aerospace Industry Application for Manufacturing
Intel Student Ambassador's tech talk at oneAPI DevSummit Oct'24
- Transform your AI Applications with Agentic LLM Workflows
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Archives mensuelles : août 2023
Intel® QuickAssist Technology Zstandard Plugin, an External Sequence Producer for Zstandard
Introducing: Intel® QuickAssist Technology (Intel® QAT) an external sequence producer for zstd
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Building an Object Detection Model for Autonomous Vehicles using PyTorch: Developer Spotlight
Developer Spotlight: Akash Agrawal proposed an Object Detection Model for Autonomous Vehicles
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Building an Online Learning Platform using Intel® AI Analytics Toolkit: Developer Spotlight
Developer Spotlight: Rohit Sroch, in his blog proposed a Learning Enhancement and Assistance Platform
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Intel’s AI Innovation Bridge: Inspiring AI Startups at Hackathon during Intel Innovation 2023
Intel Liftoff for Startups presents the AI Innovation Bridge: An onsite LLM and Gen AI hackathon during the Intel Innovation 2023 conference, fostering groundbreaking advancements. The event promises a transformative experience for AI startups. Set for September 19-20 in San … Continuer la lecture
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oneTBB: A Modern C++ Library for Task-based Parallelism on CPUs
Intel® oneAPI Threading Building Blocks: open-source library on GitHub supports parallelism on CPUs.
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