AI, Community, and the Future of Generative Applications
Open at Intel host Katherine Druckman chatted with Tim Spann of Zilliz about everything from his work with the Milvus project, to building AI applications the right way and what that might…
Fine-tuning has the following advantages over training neural networks from scratch: Saving time and resources. This allows developers to use the knowledge that has already been learned by a pretrained model. Improving performance and accuracy of the model. Data scientists and developers can create a model that is optimized for the new problem by adapting a pretrained model to a new task. This can lead to improved performance on the new task, especially if the pretrained model was trained on a large dataset.
Fine-Tuning Text Classification with Intel® Neural CompressorTry out the preceding code sample to fine-tune your text model on a pretrained BERT-tiny model and see how Intel Neural Compressor optimizes the fine-tuning process using quantization-aware training. Download and try the AI Tools and Intel® Neural Compressor for yourself to build various end-to-end AI applications. We encourage you to also check out and incorporate other AI and machine learning frameworks and end-to-end tools from Intel into your AI workflow. Learn about the unified, open, standards-based oneAPI programming model that forms the foundation of Intel's AI software portfolio to he
Fine-Tuning Text Classification with Intel® Neural CompressorOpen at Intel host Katherine Druckman chatted with Tim Spann of Zilliz about everything from his work with the Milvus project, to building AI applications the right way and what that might…
…Katherine Druckman Traditionally, cybersecurity has been largely siloed from development and other parts of IT, but according to Microsoft* Cloud Security Advocate Sarah Young, recent shifts in the security landscape—and new…
…is developing mixed-precision algorithms, an AI computing technique, to make elastic computing workloads possible on current-generation hardware. Workloads that can afford a small loss in precision are converted from FP…
…about new use cases daily from satellites to routers to really interesting ones like new products like the digital train reader boards that they have. Actual train track brake regulators on the…
…development and deployment side as well, but when it comes to training models and things like that, there is the PyTorch Foundation , under the Linux Foundation. There's the LF AI & DATA…
…The hospital transitioned from a traditional three-tier infrastructure to a modern cloud platform based on Lenovo servers, powered by 3rd Gen Intel® Xeon® Scalable processors. By PDF lenovo logo Featured content…
…other hardware architecture GPU or accelerator apart from an NVIDIA GPU. This limits the choice of different architectures, creates vendor lock-in, and forces developers to maintain separate code bases for CPU…
…Over the years, the ACCMS has been a focal point for advancing groundbreaking scientific research and development through its state-of-the-art computational resources. This ongoing evolution reflects a commitment to…
…team developed a new approach to finding stable and functional crystal structures by using a graph neural network (GNN) to predict an upper bound to the fully relaxed energy obtained from DFT…
…If you're a developer, we have a lot of information about best practice, documentation, white papers, concise guides, training, and we also have tooling to help developers do their work more…