Model pruning is arguably one of the oldest methods of deep neural networks (DNN) model size reduction that dates to the 90s, and quite stunningly, is still a very active area of research in the AI community. Pruning in a nutshell, creates sparsely connected DNNs that intend to retain model performance as the original dense model.
-
-
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
-
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
-