fix typo

kyryl-opens-ml · Aug 24, 2024 · 86df801 · 86df801
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diff --git a/module-2/PRACTICE.md b/module-2/PRACTICE.md
@@ -29,14 +29,14 @@
 - PR1: Write README instructions detailing how to deploy MinIO with the following options: Local, Docker, Kubernetes (K8S)-based.
 - PR2: Develop a CRUD Python client for MinIO and accompany it with comprehensive tests.
 - PR3: Write code to benchmark various Pandas formats in terms of data saving/loading, focusing on load time and save time.
-- PR5: Create code to benchmark inference performance using single and multiple processes, and report the differences in time.
-- PR6: Develop code for converting your dataset into the StreamingDataset format.
-- PR7: Write code for transforming your dataset into a vector format, and utilize VectorDB for ingestion and querying.
+- PR4: Create code to benchmark inference performance using single and multiple processes, and report the differences in time.
+- PR5: Develop code for converting your dataset into the StreamingDataset format.
+- PR6: Write code for transforming your dataset into a vector format, and utilize VectorDB for ingestion and querying.
 - Google Doc: Update your proposal by adding a section on data storage and processing.
 
 ## Criteria:
 
-- 7 PRs are merged
+- 6 PRs are merged
 - Description of data section, storage and processing, in the google doc.
 
 

diff --git a/module-3/PRACTICE.md b/module-3/PRACTICE.md
@@ -35,7 +35,7 @@ You need to have a training pipeline for your model for this homework. You can t
 - PR2: Write code for conducting hyperparameter searches with W&B.
 - PR3: Write code to create a model card for your model, which can be a simple markdown or utilize this [toolset](https://github.com/tensorflow/model-card-toolkit)
 - PR4 (optional): Write to replicate the [tutorial](https://www.mosaicml.com/blog/mosaicbert)
-- PR5: Write code for hyperparameter searches using [NNI](https://github.com/microsoft/nni)
+- PR5 (optional): Write code for hyperparameter searches using [NNI](https://github.com/microsoft/nni)
 - PR6 (optional): Write code for distributed training with PyTorch, Accelerate, and Ray.
 - Public link to your W&B project with experiments.