feat(nlp-spacy/ex1): update specifications in subject

subjects/ai/nlp-spacy/README.md

@@ -49,7 +49,7 @@ I recommend to use:
 - the virtual environment you're the most comfortable with. `virtualenv` and `conda` are the most used in Data Science.
 - one of the most recent versions of the libraries required
 
-1. Create a virtual environment named with a version of Python >= `3.8`, with the following libraries: `pandas`, `jupyter`, `spaCy`, `sklearn`, `matplotlib`.
+1. Create a virtual environment named with a version of Python >= `3.8`, with the following libraries: `pandas`, `jupyter`, `spaCy 3.4.0`, `sklearn`, `matplotlib`.
 
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@@ -59,7 +59,7 @@ I recommend to use:
 
 The goal of this exercise is to learn to load an embedding on `spaCy`.
 
-1. Install and load `en_core_web_sm` version `3.4.0` [embedding](https://github.com/explosion/spacy-models/releases/tag/en_core_web_sm-3.4.0). Compute the embedding of `car`.
+1. Install and load `en_core_web_sm` version `3.4.1` [embedding](https://github.com/explosion/spacy-models/releases/tag/en_core_web_sm-3.4.1). Compute the embedding of `car`.
 
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subjects/ai/nlp-spacy/audit/README.md

@@ -18,7 +18,7 @@
 
 ###### For question 1, is the embedding's shape `(96,)`?
 
-###### For question 2, do the 20 first values of the vector sum to `2.9790137708187103`?
+###### Do the 20 first values of the vector sum to `2.9790137708187103`?
 
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