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| ai_inference_service [2025/06/23 18:49] – [AI Inference Service] eagleeyenebula | ai_inference_service [2025/06/23 18:49] (current) – [AI Inference Service] eagleeyenebula |
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| ====== AI Inference Service ====== | ====== AI Inference Service ====== |
| [[https://autobotsolutions.com/aurora/wiki/doku.php?id=ai_inference_service|Wiki]]: [[https://autobotsolutions.com/god/templates/ai_inference_service.html|Framework]]: [[https://github.com/AutoBotSolutions/Aurora/blob/Aurora/ai_inference_service.py|GitHub]]: [[https://autobotsolutions.com/artificial-intelligence/ai-inference-service-scalable-and-configurable-inference-for-ai-ml-models/|Article]]: | [[https://autobotsolutions.com/aurora/wiki/doku.php?id=ai_inference_service|Wiki]]: [[https://autobotsolutions.com/god/templates/ai_inference_service.html|Framework]]: [[https://github.com/AutoBotSolutions/Aurora/blob/Aurora/ai_inference_service.py|GitHub]]: [[https://autobotsolutions.com/artificial-intelligence/ai-inference-service-scalable-and-configurable-inference-for-ai-ml-models/|Article]]: |
| **[[https://autobotsolutions.com/god/templates/index.1.html|More Developers Docs]]**: | |
| The **AI Inference Service** provides a streamlined, configurable interface for leveraging trained AI models to make predictions on new inputs. With support for pre-processing, post-processing, and error handling, this class is designed for efficient deployment in a variety of AI and machine learning use cases. | The **AI Inference Service** provides a streamlined, configurable interface for leveraging trained AI models to make predictions on new inputs. With support for pre-processing, post-processing, and error handling, this class is designed for efficient deployment in a variety of AI and machine learning use cases. |
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