Liquid Models refers to AI systems that dynamically adapt their structure or parameters based on input data, improving flexibility and efficiency. Used in real-time applications like autonomous driving or financial forecasting, these models process streaming data without retraining. Developers, data scientists, and industries needing adaptive, low-latency solutions benefit most from this approach.
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