July 25, 2023
Intel has released a set of open source AI reference kits that are designed to help developers get to market faster. The kits include pre-trained models, code, and instructions for building and deploying AI applications.
The kits are available for a variety of industries, including healthcare, manufacturing, retail, and transportation. They can be used to build applications for tasks such as image classification, natural language processing, and speech recognition.
The kits are based on Intel’s oneAPI programming model, which makes it easier to develop and deploy AI applications across different hardware platforms. They also include tools for optimizing performance and scalability.
“Our AI reference kits are a valuable resource for developers who are looking to build and deploy AI applications,” said Raja Koduri, Intel’s chief architect and executive vice president of Intel’s Accelerated Computing Systems and Graphics Group. “These kits make it easier for developers to get started with AI, and they help them to build more powerful and efficient AI applications.”
The kits are available on GitHub. They are free to use and modify.
How the kits work
The kits work by providing developers with a pre-trained model, code, and instructions for building and deploying an AI application. The pre-trained model is a neural network that has been trained on a large dataset of images, text, or audio. The code provides the instructions for how to use the pre-trained model to make predictions. The instructions are written in a programming language that is supported by Intel’s oneAPI programming model.
The kits also include tools for optimizing performance and scalability. These tools can be used to tune the parameters of the pre-trained model and to deploy the AI application to different hardware platforms.
Benefits of using the kits
There are a number of benefits to using Intel’s AI reference kits. These benefits include:
- Speed to market: The kits can help developers to get to market faster by providing them with a pre-trained model and code that is ready to use.
- Portability: The kits are portable, which means that they can be used to build and deploy AI applications on different hardware platforms.
- Scalability: The kits are scalable, which means that they can be used to build AI applications that can handle large amounts of data.
- Cost-effectiveness: The kits are free to use and modify, which makes them a cost-effective way to build AI applications.
Conclusion
Intel’s AI reference kits are a valuable resource for developers who are looking to build and deploy AI applications. The kits make it easier for developers to get started with AI, and they help them to build more powerful and efficient AI applications. The kits are available on GitHub. They are free to use and modify.
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