Making text consistent where it is not

cookbooks/python/langchain/README.md

@@ -4,4 +4,4 @@ This folder contains examples of how to achieve specific tasks using the LangCha
 
 ## Examples
 
-- [LangChain](lc_openai_getting_started.ipynb): Examples of how LangChain can be used with models provided by the GitHub Models service
+- [LangChain](lc_openai_getting_started.ipynb): Examples of how LangChain can be used with models provided by the GitHub Models service.

cookbooks/python/mistralai/README.md

@@ -8,7 +8,7 @@ The samples were modified slightly to better run with the GitHub Models service.
 
 The following cookbook examples are available:
 
-- [Evaluation](evaluation.ipynb): Provides a number of examples for evaluating the performance of a task performed by an LLM, concretely information extraction, code generation, summarization
-- [Function Calling](function_calling.ipynb): Simple example to demonstrate how function calling works with Mistral models
-- [Prefix: Use Cases](prefix_use_cases.ipynb): Add a prefix to the model's response via the API
-- [Prompting Capabilities](prompting_capabilities.ipynb): Example prompts showing classification, summarization, personalization, and evaluation
+- [Evaluation](evaluation.ipynb): Provides a number of examples for evaluating the performance of a task performed by an LLM, concretely information extraction, code generation, summarization.
+- [Function Calling](function_calling.ipynb): Simple example to demonstrate how function calling works with Mistral models.
+- [Prefix: Use Cases](prefix_use_cases.ipynb): Add a prefix to the model's response via the API.
+- [Prompting Capabilities](prompting_capabilities.ipynb): Example prompts showing classification, summarization, personalization, and evaluation.

cookbooks/python/openai/README.md

@@ -9,4 +9,4 @@ The samples were modified slightly to better run with the GitHub Models service.
 - [How to call functions with chat models](How_to_call_functions_with_chat_models.ipynb): This notebook shows how to get GPT-4o to determing which of a set of functions to call to answer a user's question.
 - [Data extraction and transformation](Data_extraction_transformation.ipynb): This notebook shows how to extract data from documents using gpt-4o-mini.
 - [How to stream completions](How_to_stream_completions.ipynb): This notebook shows detailed instructions on how to stream chat completions.
-- [Developing Hallucination Guardrails](Developing_hallucination_guardrails.ipynb): Develop an output guardrail that specifically checks model outputs for hallucinations
+- [Developing Hallucination Guardrails](Developing_hallucination_guardrails.ipynb): Develop an output guardrail that specifically checks model outputs for hallucinations.

samples/python/openai/embeddings_getting_started.ipynb

@@ -126,7 +126,7 @@
     "\n",
     "See the cookbook [rag_getting_started](../../../cookbooks/python/llamaindex/rag_getting_started.ipynb) for an example of how to do this using the LLamaIndex framework.\n",
     "\n",
-    "To learn more about what you can do with the GitHub models using the OpenAI Python API, [check out theses cookbooks](../../../cookbooks/python/openai/README.md)\n"
+    "To learn more about what you can do with the GitHub models using the OpenAI Python API, [check out theses cookbooks](../../../cookbooks/python/openai/README.md).\n"
    ]
   }
  ],