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README.md

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@@ -16,9 +16,10 @@ __This branch corresponds to the ongoing 2025 course. If you want to see full ma
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- [__Week 4:__](./week04_data_parallel) __Data-parallel training and All-Reduce__
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- Lecture: Introduction to distributed training. Data-parallel training of neural networks. All-Reduce and its efficient implementations.
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- Seminar: Introduction to PyTorch Distributed. Data-parallel training primitives.
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- __Week 5:__ __Sharded data-parallel training, distributed training optimizations__
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- [__Week 5:__](./week05_large_models) __Sharded data-parallel training, distributed training optimizations__
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- __Week 6:__ __Training large models__
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- __Week 7:__ __Python web application deployment__
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- [__Week 7:__](./week07_application_deployment) __Python web application deployment__
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- Lecture/Seminar: Building and deployment of production-ready web services. App & web servers, Docker, Prometheus, API via HTTP and gRPC.
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- __Week 8:__ __LLM inference optimizations and software__
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- __Week 9:__ __Efficient model inference__
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- __Week 10:__ Guest lecture

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