Add week08 links

Author: mryab

README.md

@@ -24,7 +24,7 @@ __This branch corresponds to the ongoing 2023 course. If you want to see full ma
   - Seminar: Gradient checkpointing and tensor parallelism in practice.
 - [__Week 7:__](./week07_application_deployment) __Python web application deployment__
   - Lecture/Seminar: Building and deployment of production-ready web services. App & web servers, Docker, Prometheus, API via HTTP and gRPC.
-- __Week 8:__ __Software for serving neural networks__
+- [__Week 8:__](./week08_inference_software) __Software for serving neural networks__
   - Lecture/Seminar: Different formats for packing NN: ONNX, TorchScript, IR. Inference servers: OpenVINO, Triton. ML on client devices: TfJS, ML Kit, Core ML.
 - [__Week 9:__](./week09_compression) __Efficient model inference__
   - Lecture: Efficient Architectures, Knowledge distillation, Pruning, Quantization, Matrices decompositions.

week08_inference_software/README.md

@@ -1,5 +1,5 @@
-# Inference software
+# Week 8: Inference software
 
-* Slides: [link](./slides.pdf), video (in Russian): TBD
+* Lecture/practice: [slides](./slides.pdf), [video](https://disk.yandex.ru/i/hnE2oRYoS-2zqA)
 
 Run `jupyter notebook` to open `.ipynb` files and execute `docker-compose up` to run each stand.