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@@ -1073,113 +1073,113 @@ window.Quarto = {
<td style="text-align: left;">1</td>
<td style="text-align: left;">I</td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/vol1/introduction/introduction.html">Introduction</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/tinytorch/modules/01_tensor_ABOUT.html">Module 01: Tensor</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_00_introduction.html">Lab 00</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/tinytorch/modules/01_tensor.html">Module 01: Tensor</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_00_introduction/">Lab 00</a></td>
</tr>
<tr class="even">
<td style="text-align: left;">2</td>
<td style="text-align: left;">I</td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/vol1/ml_systems/ml_systems.html">ML Systems</a></td>
<td style="text-align: left;">Module 01 (cont.)</td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_01_ml_intro.html">Lab 01</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_01_ml_intro/">Lab 01</a></td>
</tr>
<tr class="odd">
<td style="text-align: left;">3</td>
<td style="text-align: left;">I</td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/vol1/ml_workflow/ml_workflow.html">ML Workflow</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/tinytorch/modules/02_activations_ABOUT.html">Module 02: Activations</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_02_ml_systems.html">Lab 02</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/tinytorch/modules/02_activations.html">Module 02: Activations</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_02_ml_systems/">Lab 02</a></td>
</tr>
<tr class="even">
<td style="text-align: left;">4</td>
<td style="text-align: left;">I</td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/vol1/data_engineering/data_engineering.html">Data Engineering</a></td>
<td style="text-align: left;">Module 02 (cont.)</td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_03_ml_workflow.html">Lab 03</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_03_ml_workflow/">Lab 03</a></td>
</tr>
<tr class="odd">
<td style="text-align: left;">5</td>
<td style="text-align: left;">II</td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/vol1/nn_computation/nn_computation.html">Neural Computation</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/tinytorch/modules/03_layers_ABOUT.html">Module 03: Layers</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_04_data_engr.html">Lab 04</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/tinytorch/modules/03_layers.html">Module 03: Layers</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_04_data_engr/">Lab 04</a></td>
</tr>
<tr class="even">
<td style="text-align: left;">6</td>
<td style="text-align: left;">II</td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/vol1/nn_architectures/nn_architectures.html">NN Architectures</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/tinytorch/modules/04_losses_ABOUT.html">Module 04: Losses</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_05_nn_compute.html">Lab 05</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/tinytorch/modules/04_losses.html">Module 04: Losses</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_05_nn_compute/">Lab 05</a></td>
</tr>
<tr class="odd">
<td style="text-align: left;">7</td>
<td style="text-align: left;">II</td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/vol1/frameworks/frameworks.html">ML Frameworks</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/tinytorch/modules/05_dataloader_ABOUT.html">Module 05: DataLoader</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_06_nn_arch.html">Lab 06</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/tinytorch/modules/05_dataloader.html">Module 05: DataLoader</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_06_nn_arch/">Lab 06</a></td>
</tr>
<tr class="even">
<td style="text-align: left;">8</td>
<td style="text-align: left;">II</td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/vol1/training/training.html">Training</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/tinytorch/modules/06_autograd_ABOUT.html">Module 06: Autograd</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_07_ml_frameworks.html">Lab 07</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/tinytorch/modules/06_autograd.html">Module 06: Autograd</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_07_ml_frameworks/">Lab 07</a></td>
</tr>
<tr class="odd">
<td style="text-align: left;">9</td>
<td style="text-align: left;">III</td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/vol1/data_selection/data_selection.html">Data Selection</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/tinytorch/modules/07_optimizers_ABOUT.html">Module 07: Optimizers</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_08_model_train.html">Lab 08</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/tinytorch/modules/07_optimizers.html">Module 07: Optimizers</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_08_model_train/">Lab 08</a></td>
</tr>
<tr class="even">
<td style="text-align: left;">10</td>
<td style="text-align: left;">III</td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/vol1/optimizations/model_compression.html">Model Compression</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/tinytorch/modules/08_training_ABOUT.html">Module 08: Training</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_09_data_selection.html">Lab 09</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/tinytorch/modules/08_training.html">Module 08: Training</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_09_data_selection/">Lab 09</a></td>
</tr>
<tr class="odd">
<td style="text-align: left;">11</td>
<td style="text-align: left;">III</td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/vol1/hw_acceleration/hw_acceleration.html">HW Acceleration</a></td>
<td style="text-align: left;">Module 08 (cont.)</td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_10_model_compress.html">Lab 10</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_10_model_compress/">Lab 10</a></td>
</tr>
<tr class="even">
<td style="text-align: left;">12</td>
<td style="text-align: left;">III</td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/vol1/benchmarking/benchmarking.html">Benchmarking</a></td>
<td style="text-align: left;"><em>Catch-up</em></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_11_hw_accel.html">Lab 11</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_11_hw_accel/">Lab 11</a></td>
</tr>
<tr class="odd">
<td style="text-align: left;">13</td>
<td style="text-align: left;">IV</td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/vol1/model_serving/model_serving.html">Model Serving</a></td>
<td style="text-align: left;"><em>Capstone prep</em></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_12_perf_bench.html">Lab 12</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_12_perf_bench/">Lab 12</a></td>
</tr>
<tr class="even">
<td style="text-align: left;">14</td>
<td style="text-align: left;">IV</td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/vol1/ml_ops/ml_ops.html">ML Operations</a></td>
<td style="text-align: left;"><em>Capstone prep</em></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_13_model_serving.html">Lab 13</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_13_model_serving/">Lab 13</a></td>
</tr>
<tr class="odd">
<td style="text-align: left;">15</td>
<td style="text-align: left;">IV</td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/vol1/responsible_engr/responsible_engr.html">Responsible Engr.</a></td>
<td style="text-align: left;"><em>Capstone work</em></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_14_ml_ops.html">Lab 14</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_14_ml_ops/">Lab 14</a></td>
</tr>
<tr class="even">
<td style="text-align: left;">16</td>
<td style="text-align: left;">IV</td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/vol1/conclusion/conclusion.html">Conclusion</a></td>
<td style="text-align: left;"><em>AI Olympics</em></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_15_responsible_engr.html">Lab 15</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_15_responsible_engr/">Lab 15</a></td>
</tr>
</tbody>
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<td style="text-align: left;"><strong>Lab</strong></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_00_introduction.html">Lab 00</a>: The Architect’s Portal (orientation)</td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_00_introduction/">Lab 00</a>: The Architect’s Portal (orientation)</td>
</tr>
<tr class="odd">
<td style="text-align: left;"><strong>Build</strong></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/tinytorch/modules/01_tensor_ABOUT.html">TinyTorch Module 01: Tensor</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/tinytorch/modules/01_tensor.html">TinyTorch Module 01: Tensor</a></td>
</tr>
<tr class="even">
<td style="text-align: left;"><strong>Due</strong></td>
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<td style="text-align: left;"><strong>Lab</strong></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_01_ml_intro.html">Lab 01</a>: The Magnitude Gap</td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_01_ml_intro/">Lab 01</a>: The Magnitude Gap</td>
</tr>
<tr class="odd">
<td style="text-align: left;"><strong>Build</strong></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/tinytorch/modules/01_tensor_ABOUT.html">TinyTorch Module 01</a>: Tensor (continued)</td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/tinytorch/modules/01_tensor.html">TinyTorch Module 01</a>: Tensor (continued)</td>
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<td style="text-align: left;"><strong>Lab</strong></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_02_ml_systems.html">Lab 02</a>: The Workflow Pipeline</td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_02_ml_systems/">Lab 02</a>: The Workflow Pipeline</td>
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<tr class="odd">
<td style="text-align: left;"><strong>Build</strong></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/tinytorch/modules/02_activations_ABOUT.html">TinyTorch Module 02: Activations</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/tinytorch/modules/02_activations.html">TinyTorch Module 02: Activations</a></td>
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<td style="text-align: left;"><strong>Lab</strong></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_03_ml_workflow.html">Lab 03</a>: The Data Pipeline</td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_03_ml_workflow/">Lab 03</a>: The Data Pipeline</td>
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<td style="text-align: left;"><strong>Build</strong></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/tinytorch/modules/02_activations_ABOUT.html">TinyTorch Module 02</a>: Activations (continued)</td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/tinytorch/modules/02_activations.html">TinyTorch Module 02</a>: Activations (continued)</td>
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<td style="text-align: left;"><strong>Lab</strong></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_04_data_engr.html">Lab 04</a>: The Computation Graph</td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_04_data_engr/">Lab 04</a>: The Computation Graph</td>
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<td style="text-align: left;"><strong>Build</strong></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/tinytorch/modules/03_layers_ABOUT.html">TinyTorch Module 03: Layers</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/tinytorch/modules/03_layers.html">TinyTorch Module 03: Layers</a></td>
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<td style="text-align: left;"><strong>Lab</strong></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_05_nn_compute.html">Lab 05</a>: Architecture Tradeoffs</td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_05_nn_compute/">Lab 05</a>: Architecture Tradeoffs</td>
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<tr class="odd">
<td style="text-align: left;"><strong>Build</strong></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/tinytorch/modules/04_losses_ABOUT.html">TinyTorch Module 04: Losses</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/tinytorch/modules/04_losses.html">TinyTorch Module 04: Losses</a></td>
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<td style="text-align: left;"><strong>Lab</strong></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_06_nn_arch.html">Lab 06</a>: The Dispatch Tax</td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_06_nn_arch/">Lab 06</a>: The Dispatch Tax</td>
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<tr class="odd">
<td style="text-align: left;"><strong>Build</strong></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/tinytorch/modules/05_dataloader_ABOUT.html">TinyTorch Module 05: DataLoader</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/tinytorch/modules/05_dataloader.html">TinyTorch Module 05: DataLoader</a></td>
</tr>
<tr class="even">
<td style="text-align: left;"><strong>Due</strong></td>
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<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_07_ml_frameworks.html">Lab 07</a>: The Training Loop</td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_07_ml_frameworks/">Lab 07</a>: The Training Loop</td>
</tr>
<tr class="odd">
<td style="text-align: left;"><strong>Build</strong></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/tinytorch/modules/06_autograd_ABOUT.html">TinyTorch Module 06: Autograd</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/tinytorch/modules/06_autograd.html">TinyTorch Module 06: Autograd</a></td>
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<td style="text-align: left;"><strong>Due</strong></td>
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<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_08_model_train.html">Lab 08</a>: Data Quality</td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_08_model_train/">Lab 08</a>: Data Quality</td>
</tr>
<tr class="odd">
<td style="text-align: left;"><strong>Build</strong></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/tinytorch/modules/07_optimizers_ABOUT.html">TinyTorch Module 07: Optimizers</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/tinytorch/modules/07_optimizers.html">TinyTorch Module 07: Optimizers</a></td>
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<td style="text-align: left;"><strong>Due</strong></td>
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<td style="text-align: left;"><strong>Lab</strong></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_09_data_selection.html">Lab 09</a>: The Data Selection Paradox</td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_09_data_selection/">Lab 09</a>: The Data Selection Paradox</td>
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<tr class="odd">
<td style="text-align: left;"><strong>Build</strong></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/tinytorch/modules/08_training_ABOUT.html">TinyTorch Module 08: Training</a></td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/tinytorch/modules/08_training.html">TinyTorch Module 08: Training</a></td>
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<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_10_model_compress.html">Lab 10</a>: The Compression Paradox</td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_10_model_compress/">Lab 10</a>: The Compression Paradox</td>
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<td style="text-align: left;"><strong>Build</strong></td>
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<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_11_hw_accel.html">Lab 11</a>: The Hardware Roofline</td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_11_hw_accel/">Lab 11</a>: The Hardware Roofline</td>
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<td style="text-align: left;"><strong>Build</strong></td>
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<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_12_perf_bench.html">Lab 12</a>: The Benchmarking Trap</td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_12_perf_bench/">Lab 12</a>: The Benchmarking Trap</td>
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<td style="text-align: left;"><strong>Build</strong></td>
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<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_13_model_serving.html">Lab 13</a>: The Tail Latency Trap</td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_13_model_serving/">Lab 13</a>: The Tail Latency Trap</td>
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<td style="text-align: left;"><strong>Build</strong></td>
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<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_14_ml_ops.html">Lab 14</a>: The Silent Degradation Problem</td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_14_ml_ops/">Lab 14</a>: The Silent Degradation Problem</td>
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<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_15_responsible_engr.html">Lab 15</a>: No Free Fairness</td>
<td style="text-align: left;"><a href="https://mlsysbook.ai/labs/vol1/lab_15_responsible_engr/">Lab 15</a>: No Free Fairness</td>
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<td style="text-align: left;"><strong>Capstone</strong></td>
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<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a><span class="bu">cd</span> cs249r_book/tinytorch</span></code></pre></div><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></div>
<ul>
<li>Students work in <code>src/</code> — one folder per module (e.g., <code>src/01_tensor/</code>)</li>
<li>Each module has a companion <a href="https://mlsysbook.ai/tinytorch/modules/01_tensor_ABOUT.html">ABOUT page</a> with learning objectives, audio overview, and a Binder link for browser-based execution</li>
<li>Each module has a companion <a href="https://mlsysbook.ai/tinytorch/modules/01_tensor.html">module page</a> with learning objectives, implementation guidance, and tests</li>
<li>Auto-grading runs via <code>pytest</code> or <code>nbgrader</code></li>
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<p>Each module is a Python file with scaffolded cells. Students implement core functions (<code>forward()</code>, <code>backward()</code>, etc.) while the test suite validates correctness. For example, in <a href="https://mlsysbook.ai/tinytorch/modules/06_autograd_ABOUT.html">Module 06: Autograd</a>, students build reverse-mode automatic differentiation from scratch — implementing the computation graph, topological sort, and gradient accumulation that powers every modern framework. Browse any module’s ABOUT page on the <a href="https://mlsysbook.ai/tinytorch/">TinyTorch site</a> to see the full structure.</p>
<p>Each module is a Python file with scaffolded cells. Students implement core functions (<code>forward()</code>, <code>backward()</code>, etc.) while the test suite validates correctness. For example, in <a href="https://mlsysbook.ai/tinytorch/modules/06_autograd.html">Module 06: Autograd</a>, students build reverse-mode automatic differentiation from scratch — implementing the computation graph, topological sort, and gradient accumulation that powers every modern framework. Browse any module page on the <a href="https://mlsysbook.ai/tinytorch/">TinyTorch site</a> to see the full structure.</p>
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</section>
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<p>Here is exactly what to assign on Day 1:</p>
<ol type="1">
<li><strong>Reading</strong>: <a href="https://mlsysbook.ai/vol1/introduction/introduction.html">Vol I, Introduction</a> (45 min)</li>
<li><strong>Lab</strong>: <a href="https://mlsysbook.ai/labs/vol1/lab_00_introduction.html">Lab 00</a> — The Architect’s Portal (30 min)</li>
<li><strong>TinyTorch</strong>: <a href="https://mlsysbook.ai/tinytorch/modules/01_tensor_ABOUT.html">Module 01: Tensor</a> — due end of Week 1 (4–6 hrs)</li>
<li><strong>Lab</strong>: <a href="https://mlsysbook.ai/labs/vol1/lab_00_introduction/">Lab 00</a> — The Architect’s Portal (30 min)</li>
<li><strong>TinyTorch</strong>: <a href="https://mlsysbook.ai/tinytorch/modules/01_tensor.html">Module 01: Tensor</a> — due end of Week 1 (4–6 hrs)</li>
<li><strong>Prediction Lock</strong>: “A GPU is how many times faster than a CPU for a <span class="math inline">\(1024{\times}1024\)</span> matrix multiply?” (students commit a number before Lab 01)</li>
</ol>
<div class="callout callout-style-default callout-tip callout-titled">
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<div class="col-6 col-md-3"><div class="p-3 border rounded h-100 ecosystem-link" data-site="kits"><h5 class="anchored"><a href="https://mlsysbook.ai/kits/">Hardware Kits</a></h5><p class="small text-muted mb-0">Hands-on embedded ML deployment on real devices.</p></div></div>
<div class="col-6 col-md-3"><div class="p-3 border rounded h-100 ecosystem-link" data-site="instructors"><h5 class="anchored"><a href="https://mlsysbook.ai/instructors/">Instructor Hub</a></h5><p class="small text-muted mb-0">Course maps, syllabi, and adoption resources for teaching.</p></div></div>
<div class="col-6 col-md-3"><div class="p-3 border rounded h-100 ecosystem-link" data-site="tinytorch"><h5 class="anchored"><a href="https://mlsysbook.ai/tinytorch/">TinyTorch</a></h5><p class="small text-muted mb-0">Build your own ML framework from scratch, module by module.</p></div></div>
<div class="col-6 col-md-3"><div class="p-3 border rounded h-100 ecosystem-link" data-site="mlsysim"><h5 class="anchored"><a href="https://mlsysbook.ai/mlsysim/">MLSysIM</a></h5><p class="small text-muted mb-0">The physics engine behind every quantitative figure in the book.</p></div></div>
<div class="col-6 col-md-3"><div class="p-3 border rounded h-100 ecosystem-link" data-site="mlsysim"><h5 class="anchored"><a href="https://mlsysbook.ai/mlsysim/">MLSys·im</a></h5><p class="small text-muted mb-0">The analytical modeling engine behind the book's quantitative figures.</p></div></div>
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<loc>https://mlsysbook.ai/instructors/pedagogy.html</loc>
<lastmod>2026-06-22T19:08:52.764Z</lastmod>
<lastmod>2026-07-15T09:13:43.393Z</lastmod>
</url>
<url>
<loc>https://mlsysbook.ai/instructors/ta-guide.html</loc>
<lastmod>2026-06-22T19:08:52.764Z</lastmod>
<lastmod>2026-07-15T09:13:43.393Z</lastmod>
</url>
</urlset>
instructors/ta-guide.html
+4 -2
View File
@@ -769,7 +769,7 @@ window.Quarto = {
</ul>
<ul class="navbar-nav navbar-nav-scroll ms-auto">
<li class="nav-item">
<a class="nav-link" href="./#subscribe"> <i class="bi bi-envelope" role="img">
<a class="nav-link" href="https://mlsysbook.ai/newsletter/"> <i class="bi bi-envelope" role="img">
</i>
<span class="menu-text">Subscribe</span></a>
</li>
@@ -1914,7 +1914,9 @@ window.Quarto = {
' · hash ' + shortHash;
pills.forEach(function (el) {
var linkHref = el.getAttribute('data-link') || '#release';
var rawLink = el.getAttribute('data-link') || '#release';
// XSS hardening: allow only anchor, relative, or http(s) links; reject javascript:/data: URLs.
var linkHref = /^(?:#|\/|\.{1,2}\/|https?:\/\/)/i.test(rawLink) ? rawLink : '#release';
var a = document.createElement('a');
a.href = linkHref;
a.title = title;
instructors/tinyml-syllabus.html
+4 -2
View File
@@ -740,7 +740,7 @@ ul.task-list li input[type="checkbox"] {
</ul>
<ul class="navbar-nav navbar-nav-scroll ms-auto">
<li class="nav-item">
<a class="nav-link" href="./#subscribe"> <i class="bi bi-envelope" role="img">
<a class="nav-link" href="https://mlsysbook.ai/newsletter/"> <i class="bi bi-envelope" role="img">
</i>
<span class="menu-text">Subscribe</span></a>
</li>
@@ -2165,7 +2165,9 @@ ul.task-list li input[type="checkbox"] {
' · hash ' + shortHash;
pills.forEach(function (el) {
var linkHref = el.getAttribute('data-link') || '#release';
var rawLink = el.getAttribute('data-link') || '#release';
// XSS hardening: allow only anchor, relative, or http(s) links; reject javascript:/data: URLs.
var linkHref = /^(?:#|\/|\.{1,2}\/|https?:\/\/)/i.test(rawLink) ? rawLink : '#release';
var a = document.createElement('a');
a.href = linkHref;
a.title = title;