Let's talk about inferencing, a key part of AI workloads ??.
?? What is AI inferencing? It's the process where trained AI models make predictions. It differs from the training phase where and inferencing is about applying that learning.
?? AI inferencing is used across various sectors, from healthcare to finance, providing real-time insights.
?? Advantages? It offers speed and efficiency.
?? Challenges? It requires powerful hardware and optimized models.
?? Example of AI inferencing: A spam filter, trained on millions of emails, can infer if an incoming email is spam.
?? Example of Machine Learning (ML) training: Teaching the model to identify spam emails using a labeled dataset.
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I found this resource to be a very clear (and concise) explanation of the concept: https://lnkd.in/gjRDn6wW
#AIInferencing #MLtraining #AIInnovation
AI Business Process Model https://www.dhirubhai.net/pulse/ai-business-process-model-richard-halter-tclyc