Merge pull request #66 from matlab-deep-learning/fix-openai-trademark

Fix openai trademark

Author: MiriamScharnke

README.md

@@ -1,8 +1,8 @@
-# Large Language Models (LLMs) with MATLAB®
+# Large Language Models (LLMs) with MATLAB
 
 [![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=matlab-deep-learning/llms-with-matlab) [![View Large Language Models (LLMs) with MATLAB on File Exchange](https://www.mathworks.com/matlabcentral/images/matlab-file-exchange.svg)](https://www.mathworks.com/matlabcentral/fileexchange/163796-large-language-models-llms-with-matlab) 
 
-This repository contains code to connect MATLAB to the [OpenAI™ Chat Completions API](https://platform.openai.com/docs/guides/text-generation/chat-completions-api) (which powers ChatGPT™), OpenAI Images API (which powers DALL·E™), [Azure® OpenAI Service](https://learn.microsoft.com/en-us/azure/ai-services/openai/), and both local and nonlocal [Ollama™](https://ollama.com/) models. This allows you to leverage the natural language processing capabilities of large language models directly within your MATLAB environment.
+This repository contains code to connect MATLAB® to the [OpenAI® Chat Completions API](https://platform.openai.com/docs/guides/text-generation/chat-completions-api) (which powers ChatGPT™), OpenAI Images API (which powers DALL·E™), [Azure® OpenAI Service](https://learn.microsoft.com/en-us/azure/ai-services/openai/), and both local and nonlocal [Ollama™](https://ollama.com/) models. This allows you to leverage the natural language processing capabilities of large language models directly within your MATLAB environment.
 
 ## Requirements
 

doc/Azure.md

@@ -1,6 +1,6 @@
-# Connecting to Azure® OpenAI Service
+# Connecting to Azure OpenAI Service
 
-This repository contains code to connect MATLAB to the [Azure® OpenAI Service](https://learn.microsoft.com/en-us/azure/ai-services/openai/).
+This repository contains code to connect MATLAB to the [Azure® OpenAI® Service](https://learn.microsoft.com/en-us/azure/ai-services/openai/).
 
 To use Azure OpenAI Services, you need to create a model deployment on your Azure account and obtain one of the keys for it. You are responsible for any fees Azure may charge for the use of their APIs. You should be familiar with the limitations and risks associated with using this technology, and you agree that you shall be solely responsible for full compliance with any terms that may apply to your use of the Azure APIs.
 
@@ -31,7 +31,7 @@ loadenv(".env")
 
 ## Establishing a connection to Chat Completions API using Azure
 
-To connect MATLAB to Chat Completions API via Azure, you will have to create an `azureChat` object. See [the Azure documentation](https://learn.microsoft.com/en-us/azure/ai-services/openai/chatgpt-quickstart) for details on the setup required and where to find your key, endpoint, and deployment name. As explained above, the endpoint, deployment, and key should be in the environment variables `AZURE_OPENAI_ENDPOINT`, `AZURE_OPENAI_DEPLOYMENYT`, and `AZURE_OPENAI_API_KEY`, or provided as `Endpoint=…`, `Deployment=…`, and `APIKey=…` in the `azureChat` call below.
+To connect MATLAB® to Chat Completions API via Azure, you will have to create an `azureChat` object. See [the Azure documentation](https://learn.microsoft.com/en-us/azure/ai-services/openai/chatgpt-quickstart) for details on the setup required and where to find your key, endpoint, and deployment name. As explained above, the endpoint, deployment, and key should be in the environment variables `AZURE_OPENAI_ENDPOINT`, `AZURE_OPENAI_DEPLOYMENYT`, and `AZURE_OPENAI_API_KEY`, or provided as `Endpoint=…`, `Deployment=…`, and `APIKey=…` in the `azureChat` call below.
 
 In order to create the chat assistant, use the `azureChat` function, optionally providing a system prompt:
 ```matlab

doc/Ollama.md

@@ -1,6 +1,6 @@
 # Ollama
 
-This repository contains code to connect MATLAB to an [Ollama™](https://ollama.com) server, running large language models (LLMs).
+This repository contains code to connect MATLAB® to an [Ollama™](https://ollama.com) server, running large language models (LLMs).
 
 To use local models with Ollama, you will need to install and start an Ollama server, and “pull” models into it. Please follow the Ollama documentation for details. You should be familiar with the limitations and risks associated with using this technology, and you agree that you shall be solely responsible for full compliance with any terms that may apply to your use of any specific model.
 

doc/OpenAI.md

@@ -1,6 +1,6 @@
-# OpenAI™
+# OpenAI
 
-Several functions in this repository connect MATLAB to the [OpenAI™ Chat Completions API](https://platform.openai.com/docs/guides/text-generation/chat-completions-api) (which powers ChatGPT™) and the [OpenAI Images API](https://platform.openai.com/docs/guides/images/image-generation-beta) (which powers DALL·E™).
+Several functions in this repository connect MATLAB® to the [OpenAI® Chat Completions API](https://platform.openai.com/docs/guides/text-generation/chat-completions-api) (which powers ChatGPT™) and the [OpenAI Images API](https://platform.openai.com/docs/guides/images/image-generation-beta) (which powers DALL·E™).
 
 To start using the OpenAI APIs, you first need to obtain OpenAI API keys. You are responsible for any fees OpenAI may charge for the use of their APIs. You should be familiar with the limitations and risks associated with using this technology, and you agree that you shall be solely responsible for full compliance with any terms that may apply to your use of the OpenAI APIs.