Join us to learn how to build local #AI agents for various applications on #IntelCoreUltra processors. In this upcoming workshop, we’ll guide you through the core principles and architectures of local agents and give you hands-on experience building them. intel.ly/3Cgymv2

Come join us at the Intel AI DevSummit 2025 on February 26 & 27! Enhance your AI skills and connect with the global community. Save your FREE spot now. Sign Up Here: software.seek.intel.com/oneapi-devsumm… #IntelAIDevSummit #AIDevelopment #AI2025 #Developers #weareintel

Explore how PyTorch and DINOv2 power multi-label plant species classification in our upcoming webinar with Intel's Murilo Gustineli on March 27 at 12 PM PST. 👋 Register today: hubs.la/Q03bRFcW0 🌱 Learn how self-supervised Vision Transformers (DINOv2), PyTorch

Intel Accelerates AI at the Edge Through an Open Ecosystem #IAmIntel bit.ly/4bJVFun

The 2025.1 Intel Software developer tools are here! Built on #oneAPI and optimized for Intel #Xeon 6 & Core Ultra processors, these tools enhance #AI performance, improve #HPC efficiency, and deliver advanced visual AI & gaming. Learn more: intel.ly/43ENEFb

Bridging the Radiology Gap: Xeon Speeds Cancer Care Amid Staff Shortages #IAmIntel bit.ly/4jeyH0O

Unlock performance and productivity for #GenAI, Visual AI, and #HPC with the #oneAPI and AI Tools 2025.1 Find out more: intel.ly/4lbJ877

Intel Xeon processors and Gaudi 3 accelerators support Meta’s Llama 4 herd 🦙, designed for more personalized multimodal experiences. Developers can leverage optimized support across PyTorch, Hugging Face, vLLM and OPEA for easier AI deployment. intel.ly/4lsQbbZ

Intel's Parallel Universe Magazine Issue 58 is now available! 🎉 Discover how Intel® oneAPI, Intel® Extension for Scikit-learn, Intel® Tiber™ AI Cloud, and Intel® GPUs are driving innovation. 📖 Read the full issue: intel.ly/42jnyFg

Learn how to get started running on Intel Gaudi AI accelerators using models from Hugging Face Hub youtube.com/watch?v=ibpsVj… #IamIntel

With insights from Intel AI DevSummit 2025, Ramya Ravi shares key considerations for fine-tuning and self-hosting large language models. Read the blog: intel.ly/4jvVJAw

Learn how #PyTorch 2.7 and @Intel GPUs can accelerate your #AI workloads on Windows and Linux.💡 Read the latest blog from the Intel PyTorch team: hubs.la/Q03jWrRf0

Automated prompt engineering on-device—no fine-tuning, no RAG. This new guide shows how to use #DSPy with Intel #oneAPI and llama.cpp to boost task accuracy from 📉 35% → 📈 78% Run LLMs locally, optimize efficiently. Read the guide → intel.ly/4lBzYRw

Llama 4 is now optimized on Intel hardware. • Run Maverick on a single Gaudi 3 node with 8 accelerators • Deploy MoE models with Xeon 6 + Intel AMX • Serve reliably with Xeon support integrated with SGLang Explore full insights: intel.ly/3EDMIXq #Llama4

PyTorch Foundation has expanded into an umbrella foundation. vLLM and DeepSpeed have been accepted as hosted projects, advancing community-driven AI across the full lifecycle. Supporting quotes provided by the following members: AMD, Arm, Amazon Web Services, Google, Huawei,

We’re advancing healthcare, one innovation at a time. By combining AI and quantum machine learning, we’re helping turn real-time brain MRI analysis into reality — and opening new possibilities for diagnosis and care. See how we’re making it happen: intel.ly/4jSwadv

Looking to deploy your PyTorch models in C++ applications? AOTInductor makes it easy, and is now supported on Intel GPUs in PyTorch 2.7. Learn how to get started: youtube.com/watch?v=0gkL0W…

No CUDA. No low-level languages. Triton now runs on Intel GPUs—custom GPU kernels in a few lines of Python. Just open a Jupyter notebook and go. AI with Guy shows how: intel.ly/4kurlaB #Triton #IntelGPUs #OpenSource

AI is evolving fast—it's smarter, weirder, and more powerful than ever. On this episode of Tech Tab, hosts Ryan Carson and Bob Duffy dive into the latest innovations and strangest trends with leaders from MagicPath and Creator Buddy. #IAmIntel bit.ly/4kHyPqQ