Merge pull request #30 from neuralmagic/akamai-flows

Add Akamai user flows

.github/workflows/mlc-config.json

@@ -1,4 +1,9 @@
 {
+    "aliveStatusCodes": [
+        0,
+        200,
+        403,
+    ],
     "ignorePatterns": [
         {
             "pattern": ".*localhost.*"

demos/akamai-user-flows/README.md

@@ -0,0 +1,38 @@
+# Neural Magic SparseML and DeepSparse Flows for Akamai Cloud Platforms
+
+This README provides an overview of the available tutorials and guides for optimizing and deploying models using Neural Magic's tools.
+
+## Tutorials
+
+### 1. YOLOv8 Object Detection: Sparse Transfer Learning
+
+Learn how to fine-tune a pre-sparsified YOLOv8 model using SparseML's CLI, export it to ONNX, and deploy it with DeepSparse for efficient object detection inference.
+
+[Read the tutorial](docs_object_detection_python_yolov8_sparse_transfer.md)
+
+### 2. Sentiment Analysis: Sparse Transfer Learning with the Python API
+
+Discover how to fine-tune a 90% pruned BERT model on the Rotten Tomatoes dataset using SparseML's Hugging Face Integration, apply model distillation, export to ONNX, and deploy with DeepSparse.
+
+[Read the tutorial](docs_sentiment_analysis_python_custom_teacher_rottentomatoes.md)
+
+### 3. Optimizing LLMs with One-Shot Pruning and Quantization
+
+Explore techniques for optimizing large language models (LLMs) using sparsification and quantization. Learn how to apply one-shot compression to the TinyLlama chat model, evaluate its performance, export to ONNX, and deploy with DeepSparse.
+
+[Read the tutorial](docs_text_generation_python_tinyllama_oneshot_compression.md)
+
+## Getting Started
+
+To get started with these tutorials, make sure you have the following prerequisites:
+
+- A system that meets the minimum hardware and software requirements as outlined in the [Install Guide](https://docs.neuralmagic.com/get-started/install/#prerequisites).
+- Python 3.8 or higher installed.
+- Neural Magic's SparseML and DeepSparse libraries installed.
+
+For detailed installation instructions and requirements, please refer to the individual tutorial pages.
+## Support
+
+If you encounter any issues or have questions related to these tutorials, please reach out to our support team at [email protected] or join our [Slack community](https://join.slack.com/t/discuss-neuralmagic/shared_invite/zt-q1a1cnvo-YBoICSIw3L1dmQpjBeDurQ).
+
+Happy learning and optimizing!