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From: Hiroshi Yoshioka <40815708+hyoshioka0128@users.noreply.github.com>
Date: Tue, 11 Jun 2024 01:19:14 +0900
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https://github.com/microsoft/generative-ai-for-beginners/blob/main/02-exploring-and-comparing-different-llms/README.md
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 Now, let's talk about the difference between a service and a model. A service is a product that is offered by a Cloud Service Provider, and is often a combination of models, data, and other components. A model is the core component of a service, and is often a foundation model, such as an LLM.
 
-Services are often optimized for production use and are often easier to use than models, via a graphical user interface. However, services are not always available for free, and may require a subscription or payment to use, in exchange for leveraging the service owner’s equipment and resources, optimizing expenses and scaling easily. An example of service is [Azure OpenAI service](https://learn.microsoft.com/azure/ai-services/openai/overview?WT.mc_id=academic-105485-koreyst), which offers a pay-as-you-go rate plan,  meaning users are charged proportionally to how much they use the service Also, Azure OpenAI service offers enterprise-grade security and responsible AI framework on top of the models' capabilities.
+Services are often optimized for production use and are often easier to use than models, via a graphical user interface. However, services are not always available for free, and may require a subscription or payment to use, in exchange for leveraging the service owner’s equipment and resources, optimizing expenses and scaling easily. An example of service is [Azure OpenAI Service](https://learn.microsoft.com/azure/ai-services/openai/overview?WT.mc_id=academic-105485-koreyst), which offers a pay-as-you-go rate plan,  meaning users are charged proportionally to how much they use the service Also, Azure OpenAI Service offers enterprise-grade security and responsible AI framework on top of the models' capabilities.
 
 Models are just the Neural Network, with the parameters, weights, and others. Allowing companies to run locally, however, would need to buy equipment, build structure to scale and buy a license or use an open-source model. A model like LLaMA is available to be used, requiring computational power to run the model.