AI Development: Why We Need Guardrails
…AI application responsibly, I think, and this is something that I've learned from Donato Capitella who is with WithSecure, he has this LLM threat modeling canvas that he's developed, and…
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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 CompressorCloud Telemetry Overview and Strategy Resources
…Many of these decisions can even be made automatically after training AI models, so that performance and power consumption can be optimized without human involvement. Telemetry capabilities often evolve in tandem with…
The Kubernetes Effect: Abdel Sghiouar on Modernizing Infrastructure...
…Abdel shares his transition from a working in a data center role at Google to consulting and finally into developer relations, emphasizing the importance of in-person interactions and learning from community…
Cloud Solutions – Intel
…training AI models or running data analytics on shared data pools while keeping that data private. For example, healthcare institutions can use federated learning on patient data from multiple hospitals to develop…
What Is IT Transformation? Overview and Strategy – Intel
…Overcome IT service gaps and bottlenecks, reduce technical debt, break down data silos, and increase the manageability of endpoint devices. Achieve low cost. From edge to core to data center, deliver efficient…
User Experience and Open Source Software
…same conversation, and I do love the idea of training up a next generation of open source developers and making things easier from the start, making security easier, going cloud native easier…
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…
How Good Security Hygiene Can Help Ward Off Attacks
…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…
Devito Codes Automates HPC Code Generation
…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…
The Human Side of Code
…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…