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nathanhubens merged 1 commit into from
Jul 13, 2026
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docs: trim ecosystem overview to the open peer packages #43

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19 changes: 18 additions & 1 deletion nbs/overview.ipynb
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Expand Up @@ -265,7 +265,24 @@
"cell_type": "markdown",
"id": "c5xvp6sdy6d",
"metadata": {},
"source": "## The FasterAI Ecosystem\n\nfasterai is part of a family of libraries designed to make neural network optimization accessible:\n\n| Package | Purpose | When to Use |\n|---------|---------|-------------|\n| **fasterai** | Compression techniques | Pruning, sparsification, distillation, quantization during training |\n| **fasterbench** | Benchmarking | Measuring model size, speed, memory, compute, and energy |\n| **fasterlatency** | Latency prediction | Hardware-aware neural architecture search |\n| **fasterrecipes** | High-level workflows | Quick compression with sensible defaults |\n\n### Typical Workflow\n\n1. **Benchmark** your model with `fasterbench` to identify bottlenecks\n2. **Compress** using `fasterai` techniques (pruning, distillation, quantization)\n3. **Validate** compression impact with `fasterbench`\n4. **Deploy** the optimized model\n\nOr use `fasterrecipes` for one-line compression with sensible defaults!"
"source": [
"## The FasterAI Ecosystem\n",
"\n",
"fasterai is part of a family of libraries designed to make neural network optimization accessible:\n",
"\n",
"| Package | Purpose | When to Use |\n",
"|---------|---------|-------------|\n",
"| **fasterai** | Compression techniques | Pruning, sparsification, distillation, quantization during training |\n",
"| **fasterbench** | Benchmarking | Measuring model size, speed, memory, compute, and energy |\n",
"| **fasterlatency** | Latency prediction | Hardware-aware neural architecture search |\n",
"\n",
"### Typical Workflow\n",
"\n",
"1. **Benchmark** your model with `fasterbench` to identify bottlenecks\n",
"2. **Compress** using `fasterai` techniques (pruning, distillation, quantization)\n",
"3. **Validate** compression impact with `fasterbench`\n",
"4. **Deploy** the optimized model"
]
},
{
"cell_type": "markdown",
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