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An MCP (Model Context Protocol) server exposes tools that AI models can call. Each tool has a name, description, and an execute handler that runs your logic.
The server.tool() method registers a callable tool — the AI sees its name & schema, then invokes your handler with validated params.
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Transformer Attention Mechanism
Model Serving HTTP API
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Transformer Attention Mechanism
Model Serving HTTP API
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Ch 1: Router Architecture
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Build an Image Classifier with CNNs
Implement convolutional neural network operations, pooling, activation functions, and a training pipeline from scratch.
Transformer Attention Mechanism
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Model Serving HTTP API
Build an ML model serving API with batching, versioning, health checks, and A/B testing.
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