Leading Bottling Company Automates Worker Safety
…As a result, the company could skip AI training and transition straight to a fully functional safety automation system. From the moment the video stream from the existing cameras was connected to…
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Why Is Fine-Tuning Important?
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 CompressorWhat’s Next?
Try 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 CompressorAI PC Development Tools
AI PC Development Tools Seamlessly transition projects from early AI development on the PC to cloud-based training to edge deployment. Learn what is required of AI workloads and what is available…
Tokopedia Supports Growing Userbase
…Widjanarko explained. Intel works closely with Google Cloud to optimize data practitioner tools across the data pipeline. “We are delighted to work with Tokopedia to implement the Affinity Google AI Platform Training…
Stony Brook Upgrades Seawulf Supercomputer
…And it has matrix multiplication as well.” Different inputs with different configurations were tested, including different data types. Data types included fp32, BF16, and INT8, which are types used in various training…
Tech Mahindra Bridges India's Language Gap with AI
…Open-Source AI for India One of the biggest challenges was gathering dialect samples from across India to train the AI model. “We sent teams to the Hindi heartland. We had to…
LTIMindtree Optimizes AI-Enabled Chatbot Abilities
…LTIMindtree’s workflow for fine-tuning AI models using the SAMSum data set. SigOpt optimizes AI models through a combination of Bayesian and other global optimization algorithms to boost model performance while…
DeepSight and Intel Help Tire Manufacturer Speed Up Flaw Detection
…It takes around three months to train inspectors, with inspections occupying up to 80 percent of their time. Even fully trained, humans make subjective judgments and are typically only able to maintain…
Why Hardware-Based Security Is Critical for Business – Intel
…This includes confidential information being analyzed by an AI application, AI training datasets that employees working on AI might store locally, or proprietary algorithms. Compliance regulations often mandate strict controls over how…
São Leopoldo Delivers Reliable Digital Services
…Advanced Analytics Artificial Intelligence (AI) Cloud Computing High Performance Computing (HPC) Data Center Insights Get the latest information about Intel data center performance, flexibility, and scalability. Cloud Service Provider Resources Network Transformation…
3D Tooth Segmentation Is Faster on Intel® Xeon® Scalable Processor
…Algorithms With the support of deep learning technology, in contrast to traditional manual segmentation, a neural network trained on real data can automatically identify and segment key areas in Cone Beam Computed…