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92781736a1
Major changes: - Moved TinyGPT from Module 16 to examples/tinygpt (capstone demo) - Fixed Module 10 (optimizers) and Module 11 (training) bugs - All 16 modules now passing tests (100% health) - Added comprehensive testing with 'tito test --comprehensive' - Renamed example files for clarity (train_xor_network.py, etc.) - Created working TinyGPT example structure - Updated documentation to reflect 15 core modules + examples - Added KISS principle and testing framework documentation
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TinyTorch: Build Your Own ML Framework from First Principles
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<button class="sidebar-toggle secondary-toggle btn btn-sm" title="Toggle secondary sidebar" data-bs-placement="bottom" data-bs-toggle="tooltip">
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<span class="fa-solid fa-list"></span>
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<div id="jb-print-docs-body" class="onlyprint">
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<h1>🎯 TinyTorch Checkpoint System</h1>
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<!-- Table of contents -->
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<div id="print-main-content">
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<div id="jb-print-toc">
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<div>
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<h2> Contents </h2>
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</div>
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<nav aria-label="Page">
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<ul class="visible nav section-nav flex-column">
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#capability-driven-learning-journey">Capability-Driven Learning Journey</a></li>
|
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#the-five-major-checkpoints">🚀 The Five Major Checkpoints</a><ul class="nav section-nav flex-column">
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#foundation">🎯 Foundation</a></li>
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#neural-architecture">🎯 Neural Architecture</a></li>
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#training">🎯 Training</a></li>
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#inference-deployment">🎯 Inference Deployment</a></li>
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#language-models">🔥 Language Models</a></li>
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</ul>
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</li>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#tracking-your-progress">📊 Tracking Your Progress</a><ul class="nav section-nav flex-column">
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#visual-timeline">Visual Timeline</a></li>
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#rich-progress-tracking">Rich Progress Tracking</a></li>
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#capability-statements">Capability Statements</a></li>
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</ul>
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</li>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#using-the-checkpoint-system">🛠️ Using the Checkpoint System</a><ul class="nav section-nav flex-column">
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cli-commands">CLI Commands</a><ul class="nav section-nav flex-column">
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#check-your-progress">Check Your Progress</a></li>
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#rich-visual-timeline">Rich Visual Timeline</a></li>
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#test-capabilities">Test Capabilities</a></li>
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#module-completion-workflow">Module Completion Workflow</a></li>
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</ul>
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</li>
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#integration-with-development">Integration with Development</a><ul class="nav section-nav flex-column">
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#automatic-module-to-checkpoint-mapping">Automatic Module-to-Checkpoint Mapping</a></li>
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#real-capability-validation">Real Capability Validation</a></li>
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#rich-visual-feedback">Rich Visual Feedback</a></li>
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</ul>
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</li>
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</ul>
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</li>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#implementation-architecture">🏗️ Implementation Architecture</a><ul class="nav section-nav flex-column">
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#individual-test-files">16 Individual Test Files</a></li>
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#rich-cli-integration">Rich CLI Integration</a></li>
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#automated-module-completion">Automated Module Completion</a></li>
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#agent-team-implementation">Agent Team Implementation</a></li>
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</ul>
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</li>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#why-this-approach-works">🧠 Why This Approach Works</a><ul class="nav section-nav flex-column">
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#systems-thinking-over-task-completion">Systems Thinking Over Task Completion</a></li>
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#clear-learning-goals">Clear Learning Goals</a></li>
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#academic-progress-markers">Academic Progress Markers</a></li>
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#real-world-relevance">Real-World Relevance</a></li>
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</ul>
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</li>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#learning-outcomes-by-checkpoint">📈 Learning Outcomes by Checkpoint</a><ul class="nav section-nav flex-column">
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#after-foundation">After Foundation</a></li>
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#after-architecture">After Architecture</a></li>
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#after-training">After Training</a></li>
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#after-inference">After Inference</a></li>
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#after-language-models">After Language Models</a></li>
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</ul>
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</li>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#your-journey-starts-here">🚀 Your Journey Starts Here</a></li>
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</ul>
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</nav>
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</div>
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</div>
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<div id="searchbox"></div>
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<article class="bd-article">
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<section id="tinytorch-checkpoint-system">
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<h1>🎯 TinyTorch Checkpoint System<a class="headerlink" href="#tinytorch-checkpoint-system" title="Link to this heading">#</a></h1>
|
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<section id="capability-driven-learning-journey">
|
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<h2>Capability-Driven Learning Journey<a class="headerlink" href="#capability-driven-learning-journey" title="Link to this heading">#</a></h2>
|
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<p>TinyTorch transforms traditional module-based learning into a <strong>capability-driven progression system</strong>. Like academic checkpoints that mark learning progress, each checkpoint represents a major capability unlock in your ML systems engineering journey.</p>
|
|
<p><strong>Academic Checkpoint Philosophy:</strong></p>
|
|
<ul class="simple">
|
|
<li><p><strong>Progress Markers</strong>: Each checkpoint functions like academic milestones, marking concrete learning achievements</p></li>
|
|
<li><p><strong>Capability-Based</strong>: Unlike traditional assignments, you unlock actual ML systems engineering capabilities</p></li>
|
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<li><p><strong>Cumulative Learning</strong>: Each checkpoint builds on previous capabilities, creating comprehensive expertise</p></li>
|
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<li><p><strong>Visual Progress</strong>: Rich CLI tools provide academic-style progress tracking and achievement visualization</p></li>
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</ul>
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</section>
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<hr class="docutils" />
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<section id="the-five-major-checkpoints">
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<h2>🚀 The Five Major Checkpoints<a class="headerlink" href="#the-five-major-checkpoints" title="Link to this heading">#</a></h2>
|
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<section id="foundation">
|
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<h3>🎯 Foundation<a class="headerlink" href="#foundation" title="Link to this heading">#</a></h3>
|
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<p><em>Core ML primitives and environment setup</em></p>
|
|
<p><strong>Modules</strong>: Setup • Tensors • Activations<br />
|
|
<strong>Capability Unlocked</strong>: “Can build mathematical operations and ML primitives”</p>
|
|
<p><strong>What You Build:</strong></p>
|
|
<ul class="simple">
|
|
<li><p>Working development environment with all tools</p></li>
|
|
<li><p>Multi-dimensional tensor operations (the foundation of all ML)</p></li>
|
|
<li><p>Mathematical functions that enable neural network learning</p></li>
|
|
<li><p>Core computational primitives that power everything else</p></li>
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</ul>
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</section>
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<hr class="docutils" />
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<section id="neural-architecture">
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<h3>🎯 Neural Architecture<a class="headerlink" href="#neural-architecture" title="Link to this heading">#</a></h3>
|
|
<p><em>Building complete neural network architectures</em></p>
|
|
<p><strong>Modules</strong>: Layers • Dense • Spatial • Attention<br />
|
|
<strong>Capability Unlocked</strong>: “Can design and construct any neural network architecture”</p>
|
|
<p><strong>What You Build:</strong></p>
|
|
<ul class="simple">
|
|
<li><p>Fundamental layer abstractions for all neural networks</p></li>
|
|
<li><p>Dense (fully-connected) networks for classification</p></li>
|
|
<li><p>Convolutional layers for spatial pattern recognition</p></li>
|
|
<li><p>Attention mechanisms for sequence and vision tasks</p></li>
|
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<li><p>Complete architectural building blocks</p></li>
|
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</ul>
|
|
</section>
|
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<hr class="docutils" />
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<section id="training">
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<h3>🎯 Training<a class="headerlink" href="#training" title="Link to this heading">#</a></h3>
|
|
<p><em>Complete model training pipeline</em></p>
|
|
<p><strong>Modules</strong>: DataLoader • Autograd • Optimizers • Training<br />
|
|
<strong>Capability Unlocked</strong>: “Can train neural networks on real datasets”</p>
|
|
<p><strong>What You Build:</strong></p>
|
|
<ul class="simple">
|
|
<li><p>CIFAR-10 data loading and preprocessing pipeline</p></li>
|
|
<li><p>Automatic differentiation engine (the “magic” behind PyTorch)</p></li>
|
|
<li><p>SGD and Adam optimizers with memory profiling</p></li>
|
|
<li><p>Complete training orchestration system</p></li>
|
|
<li><p>Real model training on real datasets</p></li>
|
|
</ul>
|
|
</section>
|
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<hr class="docutils" />
|
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<section id="inference-deployment">
|
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<h3>🎯 Inference Deployment<a class="headerlink" href="#inference-deployment" title="Link to this heading">#</a></h3>
|
|
<p><em>Optimized model deployment and serving</em></p>
|
|
<p><strong>Modules</strong>: Compression • Kernels • Benchmarking • MLOps<br />
|
|
<strong>Capability Unlocked</strong>: “Can deploy optimized models for production inference”</p>
|
|
<p><strong>What You Build:</strong></p>
|
|
<ul class="simple">
|
|
<li><p>Model compression techniques (75% size reduction achievable)</p></li>
|
|
<li><p>High-performance kernel optimizations</p></li>
|
|
<li><p>Systematic performance benchmarking</p></li>
|
|
<li><p>Production monitoring and deployment systems</p></li>
|
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<li><p>Real-world inference optimization</p></li>
|
|
</ul>
|
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</section>
|
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<hr class="docutils" />
|
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<section id="language-models">
|
|
<h3>🔥 Language Models<a class="headerlink" href="#language-models" title="Link to this heading">#</a></h3>
|
|
<p><em>Framework generalization across modalities</em></p>
|
|
<p><strong>Modules</strong>: TinyGPT<br />
|
|
<strong>Capability Unlocked</strong>: “Can build unified frameworks that support both vision and language”</p>
|
|
<p><strong>What You Build:</strong></p>
|
|
<ul class="simple">
|
|
<li><p>GPT-style transformer using your framework components</p></li>
|
|
<li><p>Character-level tokenization and text generation</p></li>
|
|
<li><p>95% component reuse from vision to language</p></li>
|
|
<li><p>Understanding of universal ML foundations</p></li>
|
|
</ul>
|
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</section>
|
|
</section>
|
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<hr class="docutils" />
|
|
<section id="tracking-your-progress">
|
|
<h2>📊 Tracking Your Progress<a class="headerlink" href="#tracking-your-progress" title="Link to this heading">#</a></h2>
|
|
<section id="visual-timeline">
|
|
<h3>Visual Timeline<a class="headerlink" href="#visual-timeline" title="Link to this heading">#</a></h3>
|
|
<p>See your journey through the ML systems engineering pipeline:</p>
|
|
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>Foundation → Architecture → Training → Inference → Language Models
|
|
</pre></div>
|
|
</div>
|
|
<p>Each checkpoint represents a major learning milestone and capability unlock in your unified vision+language framework.</p>
|
|
</section>
|
|
<section id="rich-progress-tracking">
|
|
<h3>Rich Progress Tracking<a class="headerlink" href="#rich-progress-tracking" title="Link to this heading">#</a></h3>
|
|
<p>Within each checkpoint, track granular progress through individual modules with enhanced Rich CLI visualizations:</p>
|
|
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>🎯 Neural Architecture ████████▓▓▓▓ 66%
|
|
✅ Layers ──── ✅ Dense ──── 🔄 Spatial ──── ⏳ Attention
|
|
│ │ │ │
|
|
100% 100% 33% 0%
|
|
</pre></div>
|
|
</div>
|
|
</section>
|
|
<section id="capability-statements">
|
|
<h3>Capability Statements<a class="headerlink" href="#capability-statements" title="Link to this heading">#</a></h3>
|
|
<p>Every checkpoint completion unlocks a concrete capability:</p>
|
|
<ul class="simple">
|
|
<li><p>✅ “I can build mathematical operations and ML primitives”</p></li>
|
|
<li><p>✅ “I can design and construct any neural network architecture”</p></li>
|
|
<li><p>🔄 “I can train neural networks on real datasets”</p></li>
|
|
<li><p>⏳ “I can deploy optimized models for production inference”</p></li>
|
|
<li><p>🔥 “I can build unified frameworks supporting vision and language”</p></li>
|
|
</ul>
|
|
</section>
|
|
</section>
|
|
<hr class="docutils" />
|
|
<section id="using-the-checkpoint-system">
|
|
<h2>🛠️ Using the Checkpoint System<a class="headerlink" href="#using-the-checkpoint-system" title="Link to this heading">#</a></h2>
|
|
<section id="cli-commands">
|
|
<h3>CLI Commands<a class="headerlink" href="#cli-commands" title="Link to this heading">#</a></h3>
|
|
<section id="check-your-progress">
|
|
<h4>Check Your Progress<a class="headerlink" href="#check-your-progress" title="Link to this heading">#</a></h4>
|
|
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>tito<span class="w"> </span>checkpoint<span class="w"> </span>status<span class="w"> </span><span class="c1"># Current progress overview with capability statements</span>
|
|
tito<span class="w"> </span>checkpoint<span class="w"> </span>status<span class="w"> </span>--detailed<span class="w"> </span><span class="c1"># Module-level detail with test file status</span>
|
|
</pre></div>
|
|
</div>
|
|
</section>
|
|
<section id="rich-visual-timeline">
|
|
<h4>Rich Visual Timeline<a class="headerlink" href="#rich-visual-timeline" title="Link to this heading">#</a></h4>
|
|
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>tito<span class="w"> </span>checkpoint<span class="w"> </span>timeline<span class="w"> </span><span class="c1"># Vertical tree view with connecting lines</span>
|
|
tito<span class="w"> </span>checkpoint<span class="w"> </span>timeline<span class="w"> </span>--horizontal<span class="w"> </span><span class="c1"># Linear progress bar with Rich styling</span>
|
|
</pre></div>
|
|
</div>
|
|
</section>
|
|
<section id="test-capabilities">
|
|
<h4>Test Capabilities<a class="headerlink" href="#test-capabilities" title="Link to this heading">#</a></h4>
|
|
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>tito<span class="w"> </span>checkpoint<span class="w"> </span><span class="nb">test</span><span class="w"> </span><span class="m">01</span><span class="w"> </span><span class="c1"># Test specific checkpoint (01-15)</span>
|
|
tito<span class="w"> </span>checkpoint<span class="w"> </span><span class="nb">test</span><span class="w"> </span><span class="c1"># Test current checkpoint</span>
|
|
tito<span class="w"> </span>checkpoint<span class="w"> </span>run<span class="w"> </span><span class="m">00</span><span class="w"> </span>--verbose<span class="w"> </span><span class="c1"># Run checkpoint with detailed output</span>
|
|
tito<span class="w"> </span>checkpoint<span class="w"> </span>unlock<span class="w"> </span><span class="c1"># Show next checkpoint to unlock</span>
|
|
</pre></div>
|
|
</div>
|
|
</section>
|
|
<section id="module-completion-workflow">
|
|
<h4>Module Completion Workflow<a class="headerlink" href="#module-completion-workflow" title="Link to this heading">#</a></h4>
|
|
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>tito<span class="w"> </span>module<span class="w"> </span><span class="nb">complete</span><span class="w"> </span>02_tensor<span class="w"> </span><span class="c1"># Complete module with export and checkpoint testing</span>
|
|
tito<span class="w"> </span>module<span class="w"> </span><span class="nb">complete</span><span class="w"> </span>tensor<span class="w"> </span><span class="c1"># Works with short names too</span>
|
|
tito<span class="w"> </span>module<span class="w"> </span><span class="nb">complete</span><span class="w"> </span>02_tensor<span class="w"> </span>--skip-test<span class="w"> </span><span class="c1"># Skip checkpoint test if needed</span>
|
|
</pre></div>
|
|
</div>
|
|
<p><strong>What <code class="docutils literal notranslate"><span class="pre">tito</span> <span class="pre">module</span> <span class="pre">complete</span></code> does:</strong></p>
|
|
<ol class="arabic simple">
|
|
<li><p><strong>Exports module</strong> to the <code class="docutils literal notranslate"><span class="pre">tinytorch</span></code> package</p></li>
|
|
<li><p><strong>Maps to checkpoint</strong> (e.g., 02_tensor → checkpoint_01_foundation)</p></li>
|
|
<li><p><strong>Runs capability test</strong> with Rich progress tracking</p></li>
|
|
<li><p><strong>Shows achievement</strong> celebration and next steps</p></li>
|
|
</ol>
|
|
</section>
|
|
</section>
|
|
<section id="integration-with-development">
|
|
<h3>Integration with Development<a class="headerlink" href="#integration-with-development" title="Link to this heading">#</a></h3>
|
|
<p>The checkpoint system connects directly to your actual development work:</p>
|
|
<section id="automatic-module-to-checkpoint-mapping">
|
|
<h4>Automatic Module-to-Checkpoint Mapping<a class="headerlink" href="#automatic-module-to-checkpoint-mapping" title="Link to this heading">#</a></h4>
|
|
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="c1"># Each module maps to a specific checkpoint:</span>
|
|
01_setup<span class="w"> </span>→<span class="w"> </span>checkpoint_00_environment<span class="w"> </span><span class="c1"># Environment setup</span>
|
|
02_tensor<span class="w"> </span>→<span class="w"> </span>checkpoint_01_foundation<span class="w"> </span><span class="c1"># Tensor operations</span>
|
|
03_activations<span class="w"> </span>→<span class="w"> </span>checkpoint_02_intelligence<span class="w"> </span><span class="c1"># Activation functions</span>
|
|
04_layers<span class="w"> </span>→<span class="w"> </span>checkpoint_03_components<span class="w"> </span><span class="c1"># Neural building blocks</span>
|
|
05_dense<span class="w"> </span>→<span class="w"> </span>checkpoint_04_networks<span class="w"> </span><span class="c1"># Multi-layer networks</span>
|
|
06_spatial<span class="w"> </span>→<span class="w"> </span>checkpoint_05_learning<span class="w"> </span><span class="c1"># Spatial processing</span>
|
|
07_attention<span class="w"> </span>→<span class="w"> </span>checkpoint_06_attention<span class="w"> </span><span class="c1"># Attention mechanisms</span>
|
|
08_dataloader<span class="w"> </span>→<span class="w"> </span>checkpoint_07_stability<span class="w"> </span><span class="c1"># Data preparation</span>
|
|
09_autograd<span class="w"> </span>→<span class="w"> </span>checkpoint_08_differentiation<span class="w"> </span><span class="c1"># Gradient computation</span>
|
|
10_optimizers<span class="w"> </span>→<span class="w"> </span>checkpoint_09_optimization<span class="w"> </span><span class="c1"># Optimization algorithms</span>
|
|
11_training<span class="w"> </span>→<span class="w"> </span>checkpoint_10_training<span class="w"> </span><span class="c1"># Training loops</span>
|
|
12_compression<span class="w"> </span>→<span class="w"> </span>checkpoint_11_regularization<span class="w"> </span><span class="c1"># Model compression</span>
|
|
13_kernels<span class="w"> </span>→<span class="w"> </span>checkpoint_12_kernels<span class="w"> </span><span class="c1"># High-performance ops</span>
|
|
14_benchmarking<span class="w"> </span>→<span class="w"> </span>checkpoint_13_benchmarking<span class="w"> </span><span class="c1"># Performance analysis</span>
|
|
15_mlops<span class="w"> </span>→<span class="w"> </span>checkpoint_14_deployment<span class="w"> </span><span class="c1"># Production deployment</span>
|
|
16_tinygpt<span class="w"> </span>→<span class="w"> </span>checkpoint_15_capstone<span class="w"> </span><span class="c1"># Language model extension</span>
|
|
</pre></div>
|
|
</div>
|
|
</section>
|
|
<section id="real-capability-validation">
|
|
<h4>Real Capability Validation<a class="headerlink" href="#real-capability-validation" title="Link to this heading">#</a></h4>
|
|
<ul class="simple">
|
|
<li><p><strong>Not just code completion</strong>: Tests verify actual functionality works</p></li>
|
|
<li><p><strong>Import testing</strong>: Ensures modules export correctly to package</p></li>
|
|
<li><p><strong>Functionality testing</strong>: Validates capabilities like tensor operations, neural layers</p></li>
|
|
<li><p><strong>Integration testing</strong>: Confirms components work together</p></li>
|
|
</ul>
|
|
</section>
|
|
<section id="rich-visual-feedback">
|
|
<h4>Rich Visual Feedback<a class="headerlink" href="#rich-visual-feedback" title="Link to this heading">#</a></h4>
|
|
<ul class="simple">
|
|
<li><p><strong>Achievement celebrations</strong>: 🎉 when checkpoints are completed</p></li>
|
|
<li><p><strong>Progress visualization</strong>: Rich CLI progress bars and timelines</p></li>
|
|
<li><p><strong>Next step guidance</strong>: Suggests the next module to work on</p></li>
|
|
<li><p><strong>Capability statements</strong>: Clear “I can…” statements for each achievement</p></li>
|
|
</ul>
|
|
</section>
|
|
</section>
|
|
</section>
|
|
<hr class="docutils" />
|
|
<section id="implementation-architecture">
|
|
<h2>🏗️ Implementation Architecture<a class="headerlink" href="#implementation-architecture" title="Link to this heading">#</a></h2>
|
|
<section id="individual-test-files">
|
|
<h3>16 Individual Test Files<a class="headerlink" href="#individual-test-files" title="Link to this heading">#</a></h3>
|
|
<p>Each checkpoint is implemented as a standalone Python test file in <code class="docutils literal notranslate"><span class="pre">tests/checkpoints/</span></code>:</p>
|
|
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>tests/checkpoints/
|
|
├── checkpoint_00_environment.py # "Can I configure my environment?"
|
|
├── checkpoint_01_foundation.py # "Can I create ML building blocks?"
|
|
├── checkpoint_02_intelligence.py # "Can I add nonlinearity?"
|
|
├── ...
|
|
└── checkpoint_15_capstone.py # "Can I build complete end-to-end ML systems?"
|
|
</pre></div>
|
|
</div>
|
|
</section>
|
|
<section id="rich-cli-integration">
|
|
<h3>Rich CLI Integration<a class="headerlink" href="#rich-cli-integration" title="Link to this heading">#</a></h3>
|
|
<p>The <code class="docutils literal notranslate"><span class="pre">tito</span> <span class="pre">checkpoint</span></code> command system provides:</p>
|
|
<ul class="simple">
|
|
<li><p><strong>Visual progress tracking</strong> with progress bars and timelines</p></li>
|
|
<li><p><strong>Capability testing</strong> with immediate feedback</p></li>
|
|
<li><p><strong>Achievement celebrations</strong> with next step guidance</p></li>
|
|
<li><p><strong>Detailed status reporting</strong> with module-level information</p></li>
|
|
</ul>
|
|
</section>
|
|
<section id="automated-module-completion">
|
|
<h3>Automated Module Completion<a class="headerlink" href="#automated-module-completion" title="Link to this heading">#</a></h3>
|
|
<p>The <code class="docutils literal notranslate"><span class="pre">tito</span> <span class="pre">module</span> <span class="pre">complete</span></code> workflow:</p>
|
|
<ol class="arabic simple">
|
|
<li><p><strong>Exports module</strong> using existing <code class="docutils literal notranslate"><span class="pre">tito</span> <span class="pre">export</span></code> functionality</p></li>
|
|
<li><p><strong>Maps module to checkpoint</strong> using predefined mapping table</p></li>
|
|
<li><p><strong>Runs capability test</strong> with Rich progress visualization</p></li>
|
|
<li><p><strong>Shows results</strong> with achievement celebration or guidance</p></li>
|
|
</ol>
|
|
</section>
|
|
<section id="agent-team-implementation">
|
|
<h3>Agent Team Implementation<a class="headerlink" href="#agent-team-implementation" title="Link to this heading">#</a></h3>
|
|
<p>This system was successfully implemented by coordinated AI agents:</p>
|
|
<ul class="simple">
|
|
<li><p><strong>Module Developer</strong>: Built checkpoint tests and CLI integration</p></li>
|
|
<li><p><strong>QA Agent</strong>: Tested all 16 checkpoints and CLI functionality</p></li>
|
|
<li><p><strong>Package Manager</strong>: Validated integration with package system</p></li>
|
|
<li><p><strong>Documentation Publisher</strong>: Created this documentation and usage guides</p></li>
|
|
</ul>
|
|
</section>
|
|
</section>
|
|
<hr class="docutils" />
|
|
<section id="why-this-approach-works">
|
|
<h2>🧠 Why This Approach Works<a class="headerlink" href="#why-this-approach-works" title="Link to this heading">#</a></h2>
|
|
<section id="systems-thinking-over-task-completion">
|
|
<h3>Systems Thinking Over Task Completion<a class="headerlink" href="#systems-thinking-over-task-completion" title="Link to this heading">#</a></h3>
|
|
<p>Traditional approach: <em>“I finished Module 3”</em><br />
|
|
Checkpoint approach: *“My framework can now build neural networks”</p>
|
|
</section>
|
|
<section id="clear-learning-goals">
|
|
<h3>Clear Learning Goals<a class="headerlink" href="#clear-learning-goals" title="Link to this heading">#</a></h3>
|
|
<p>Every module contributes to a <strong>concrete system capability</strong> rather than abstract completion.</p>
|
|
</section>
|
|
<section id="academic-progress-markers">
|
|
<h3>Academic Progress Markers<a class="headerlink" href="#academic-progress-markers" title="Link to this heading">#</a></h3>
|
|
<ul class="simple">
|
|
<li><p><strong>Rich CLI visualizations</strong> with progress bars and connecting lines show your growing ML framework</p></li>
|
|
<li><p><strong>Capability unlocks</strong> feel like real learning milestones achieved in academic progression</p></li>
|
|
<li><p><strong>Clear direction</strong> toward complete ML systems mastery through structured checkpoints</p></li>
|
|
<li><p><strong>Visual timeline</strong> similar to academic transcripts tracking completed coursework</p></li>
|
|
</ul>
|
|
</section>
|
|
<section id="real-world-relevance">
|
|
<h3>Real-World Relevance<a class="headerlink" href="#real-world-relevance" title="Link to this heading">#</a></h3>
|
|
<p>The checkpoint progression <strong>Foundation → Architecture → Training → Inference → Language Models</strong> mirrors both academic learning progression and the evolution from specialized to unified ML frameworks.</p>
|
|
</section>
|
|
</section>
|
|
<hr class="docutils" />
|
|
<section id="learning-outcomes-by-checkpoint">
|
|
<h2>📈 Learning Outcomes by Checkpoint<a class="headerlink" href="#learning-outcomes-by-checkpoint" title="Link to this heading">#</a></h2>
|
|
<section id="after-foundation">
|
|
<h3>After Foundation<a class="headerlink" href="#after-foundation" title="Link to this heading">#</a></h3>
|
|
<ul class="simple">
|
|
<li><p>Understand tensor operations and mathematical foundations</p></li>
|
|
<li><p>Have working development environment</p></li>
|
|
<li><p>Ready to build neural network components</p></li>
|
|
</ul>
|
|
</section>
|
|
<section id="after-architecture">
|
|
<h3>After Architecture<a class="headerlink" href="#after-architecture" title="Link to this heading">#</a></h3>
|
|
<ul class="simple">
|
|
<li><p>Can implement any neural network architecture</p></li>
|
|
<li><p>Understand dense, convolutional, and attention mechanisms</p></li>
|
|
<li><p>Ready to train complex models</p></li>
|
|
</ul>
|
|
</section>
|
|
<section id="after-training">
|
|
<h3>After Training<a class="headerlink" href="#after-training" title="Link to this heading">#</a></h3>
|
|
<ul class="simple">
|
|
<li><p>Can train models on real datasets like CIFAR-10</p></li>
|
|
<li><p>Understand automatic differentiation and optimization</p></li>
|
|
<li><p>Ready to deploy trained models</p></li>
|
|
</ul>
|
|
</section>
|
|
<section id="after-inference">
|
|
<h3>After Inference<a class="headerlink" href="#after-inference" title="Link to this heading">#</a></h3>
|
|
<ul class="simple">
|
|
<li><p>Can optimize models for production deployment</p></li>
|
|
<li><p>Understand performance bottlenecks and solutions</p></li>
|
|
<li><p>Ready to build complete ML systems</p></li>
|
|
</ul>
|
|
</section>
|
|
<section id="after-language-models">
|
|
<h3>After Language Models<a class="headerlink" href="#after-language-models" title="Link to this heading">#</a></h3>
|
|
<ul class="simple">
|
|
<li><p>Have extended your vision framework to language models</p></li>
|
|
<li><p>Understand the unified mathematical foundations of modern AI</p></li>
|
|
<li><p>Ready for advanced ML engineering roles across all modalities</p></li>
|
|
</ul>
|
|
</section>
|
|
</section>
|
|
<hr class="docutils" />
|
|
<section id="your-journey-starts-here">
|
|
<h2>🚀 Your Journey Starts Here<a class="headerlink" href="#your-journey-starts-here" title="Link to this heading">#</a></h2>
|
|
<p>The checkpoint system transforms TinyTorch from “16 separate exercises” into <strong>“building a complete ML framework.”</strong></p>
|
|
<p>Each step builds real capabilities. Each checkpoint unlocks new powers like academic progress markers. Each completion brings you closer to <strong>ML systems mastery</strong>.</p>
|
|
<p><strong>Ready to begin?</strong> Start with:</p>
|
|
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>tito<span class="w"> </span>checkpoint<span class="w"> </span>status
|
|
</pre></div>
|
|
</div>
|
|
<p>See where you are in your ML systems engineering journey!</p>
|
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</section>
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</section>
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<i class="fa-solid fa-list"></i> Contents
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#capability-driven-learning-journey">Capability-Driven Learning Journey</a></li>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#the-five-major-checkpoints">🚀 The Five Major Checkpoints</a><ul class="nav section-nav flex-column">
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#foundation">🎯 Foundation</a></li>
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#neural-architecture">🎯 Neural Architecture</a></li>
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#training">🎯 Training</a></li>
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#inference-deployment">🎯 Inference Deployment</a></li>
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#language-models">🔥 Language Models</a></li>
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#visual-timeline">Visual Timeline</a></li>
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#rich-progress-tracking">Rich Progress Tracking</a></li>
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#capability-statements">Capability Statements</a></li>
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</ul>
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</li>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#using-the-checkpoint-system">🛠️ Using the Checkpoint System</a><ul class="nav section-nav flex-column">
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cli-commands">CLI Commands</a><ul class="nav section-nav flex-column">
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#check-your-progress">Check Your Progress</a></li>
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#rich-visual-timeline">Rich Visual Timeline</a></li>
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#test-capabilities">Test Capabilities</a></li>
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#module-completion-workflow">Module Completion Workflow</a></li>
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</ul>
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#integration-with-development">Integration with Development</a><ul class="nav section-nav flex-column">
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#automatic-module-to-checkpoint-mapping">Automatic Module-to-Checkpoint Mapping</a></li>
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#real-capability-validation">Real Capability Validation</a></li>
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#rich-visual-feedback">Rich Visual Feedback</a></li>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#implementation-architecture">🏗️ Implementation Architecture</a><ul class="nav section-nav flex-column">
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#individual-test-files">16 Individual Test Files</a></li>
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#rich-cli-integration">Rich CLI Integration</a></li>
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#automated-module-completion">Automated Module Completion</a></li>
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#agent-team-implementation">Agent Team Implementation</a></li>
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</ul>
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#systems-thinking-over-task-completion">Systems Thinking Over Task Completion</a></li>
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#real-world-relevance">Real-World Relevance</a></li>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#learning-outcomes-by-checkpoint">📈 Learning Outcomes by Checkpoint</a><ul class="nav section-nav flex-column">
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#your-journey-starts-here">🚀 Your Journey Starts Here</a></li>
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