replace "sample type" with "package"

Author: msakande

articles/ai-studio/how-to/deploy-models-cohere-command.md

@@ -792,7 +792,7 @@ Response:
 
 ##### More inference examples
 
-| **Sample Type**       | **Sample Notebook**                             |
+| **Package**       | **Sample Notebook**                             |
 |----------------|----------------------------------------|
 | CLI using CURL and Python web requests - Command R   | [command-r.ipynb](https://aka.ms/samples/cohere-command-r/webrequests)|
 | CLI using CURL and Python web requests - Command R+   | [command-r-plus.ipynb](https://aka.ms/samples/cohere-command-r-plus/webrequests)|
@@ -802,7 +802,7 @@ Response:
 | LiteLLM SDK    | [litellm.ipynb](https://github.com/Azure/azureml-examples/blob/main/sdk/python/foundation-models/cohere/litellm.ipynb) |
 
 ##### Retrieval Augmented Generation (RAG) and tool use samples
-**Description** | **Sample Type** | **Sample Notebook**
+**Description** | **Package** | **Sample Notebook**
 --|--|--
 Create a local Facebook AI similarity search (FAISS) vector index, using Cohere embeddings - Langchain|`langchain`, `langchain_cohere`|[cohere_faiss_langchain_embed.ipynb](https://github.com/Azure/azureml-examples/blob/main/sdk/python/foundation-models/cohere/cohere_faiss_langchain_embed.ipynb)
 Use Cohere Command R/R+ to answer questions from data in local FAISS vector index - Langchain|`langchain`, `langchain_cohere`|[command_faiss_langchain.ipynb](https://github.com/Azure/azureml-examples/blob/main/sdk/python/foundation-models/cohere/command_faiss_langchain.ipynb)

articles/ai-studio/how-to/deploy-models-cohere-embed.md

@@ -324,7 +324,7 @@ Response:
 
 #### More inference examples
 
-| **Sample Type**       | **Sample Notebook**                             |
+| **Package**       | **Sample Notebook**                             |
 |----------------|----------------------------------------|
 | CLI using CURL and Python web requests  | [cohere-embed.ipynb](https://aka.ms/samples/embed-v3/webrequests)|
 | OpenAI SDK (experimental)    | [openaisdk.ipynb](https://aka.ms/samples/cohere-embed/openaisdk)                                    |
@@ -333,7 +333,7 @@ Response:
 | LiteLLM SDK    | [litellm.ipynb](https://github.com/Azure/azureml-examples/blob/main/sdk/python/foundation-models/cohere/litellm.ipynb) |
 
 ##### Retrieval Augmented Generation (RAG) and tool-use samples
-**Description** | **Sample Type** | **Sample Notebook**
+**Description** | **Package** | **Sample Notebook**
 --|--|--
 Create a local Facebook AI Similarity Search (FAISS) vector index, using Cohere embeddings - Langchain|`langchain`, `langchain_cohere`|[cohere_faiss_langchain_embed.ipynb](https://github.com/Azure/azureml-examples/blob/main/sdk/python/foundation-models/cohere/cohere_faiss_langchain_embed.ipynb)
 Use Cohere Command R/R+ to answer questions from data in local FAISS vector index - Langchain|`langchain`, `langchain_cohere`|[command_faiss_langchain.ipynb](https://github.com/Azure/azureml-examples/blob/main/sdk/python/foundation-models/cohere/command_faiss_langchain.ipynb)

articles/machine-learning/how-to-deploy-models-cohere-command.md

@@ -788,7 +788,7 @@ Response:
 
 ##### Additional inference examples
 
-| **Sample Type**       | **Sample Notebook**                             |
+| **Package**       | **Sample Notebook**                             |
 |----------------|----------------------------------------|
 | CLI using CURL and Python web requests - Command R   | [command-r.ipynb](https://aka.ms/samples/cohere-command-r/webrequests)|
 | CLI using CURL and Python web requests - Command R+   | [command-r-plus.ipynb](https://aka.ms/samples/cohere-command-r-plus/webrequests)|
@@ -798,7 +798,7 @@ Response:
 | LiteLLM SDK    | [litellm.ipynb](https://github.com/Azure/azureml-examples/blob/main/sdk/python/foundation-models/cohere/litellm.ipynb) |
 
 ##### Retrieval Augmented Generation (RAG) and tool use samples
-**Description** | **Sample Type** | **Sample Notebook**
+**Description** | **Package** | **Sample Notebook**
 --|--|--
 Create a local Facebook AI Similarity Search (FAISS) vector index, using Cohere embeddings - Langchain|`langchain`, `langchain_cohere`|[cohere_faiss_langchain_embed.ipynb](https://github.com/Azure/azureml-examples/blob/main/sdk/python/foundation-models/cohere/cohere_faiss_langchain_embed.ipynb)
 Use Cohere Command R/R+ to answer questions from data in local FAISS vector index - Langchain|`langchain`, `langchain_cohere`|[command_faiss_langchain.ipynb](https://github.com/Azure/azureml-examples/blob/main/sdk/python/foundation-models/cohere/command_faiss_langchain.ipynb)

articles/machine-learning/how-to-deploy-models-cohere-embed.md

@@ -323,7 +323,7 @@ Response:
 
 #### Additional inference examples
 
-| **Sample Type**       | **Sample Notebook**                             |
+| **Package**       | **Sample Notebook**                             |
 |----------------|----------------------------------------|
 | CLI using CURL and Python web requests  | [cohere-embed.ipynb](https://aka.ms/samples/embed-v3/webrequests)|
 | OpenAI SDK (experimental)    | [openaisdk.ipynb](https://aka.ms/samples/cohere-embed/openaisdk)                                    |
@@ -332,7 +332,7 @@ Response:
 | LiteLLM SDK    | [litellm.ipynb](https://github.com/Azure/azureml-examples/blob/main/sdk/python/foundation-models/cohere/litellm.ipynb) |
 
 ##### Retrieval Augmented Generation (RAG) and tool use samples
-**Description** | **Sample Type** | **Sample Notebook**
+**Description** | **Package** | **Sample Notebook**
 --|--|--
 Create a local Facebook AI Similarity Search (FAISS) vector index, using Cohere embeddings - Langchain|`langchain`, `langchain_cohere`|[cohere_faiss_langchain_embed.ipynb](https://github.com/Azure/azureml-examples/blob/main/sdk/python/foundation-models/cohere/cohere_faiss_langchain_embed.ipynb)
 Use Cohere Command R/R+ to answer questions from data in local FAISS vector index - Langchain|`langchain`, `langchain_cohere`|[command_faiss_langchain.ipynb](https://github.com/Azure/azureml-examples/blob/main/sdk/python/foundation-models/cohere/command_faiss_langchain.ipynb)