Welcome to the first video in my Azure OpenAI Service series! In this video, I'll introduce you to Azure OpenAI, its features, and show you how to get started with it.

00:00 Introduction to Series
00:36 Azure OpenAI
01:20 Azure OpenAI vs. OpenAI
02:57 Building a ChatGPT Clone

In this series I'm covering the basics of Prompt Engineering and explore how to create intelligent applications using Large Language Models(LMMs) while going though the features of Azure OpenAI. This series is perfect for anyone interested in AI and machine learning, especially those who may not have a theoretical background.

Azure OpenAI is a powerful combination of Microsoft Azure cloud computing platform and OpenAI's advanced AI models. With Azure OpenAI, I can easily integrate OpenAI's powerful language models into the applications you develop using REST APIs. You can use these models for various purposes like content generation, summarization, semantic search, natural language to code translations, and more.

In addition to the prebuilt AI models, Azure OpenAI Service also provides the abilities to create custom AI models that can be fine-tuned with my data to increase the accuracy of AI outputs and make them more relevant to my specific scenarios. Azure OpenAI Service is especially useful for enterprise-grade applications as it offers the secure enterprise offerings inherent to Microsoft Azure and the customer data sent to Azure OpenAI remains within the Azure OpenAI service and is not used for training the models.

By the end of this video, you will have a good understanding of Azure OpenAI Service, how to create a your own ChatGPT clone, and how to deploy the chat to an Azure Container App. Stay tuned for more videos in this series, where I will explore more Azure OpenAI Service features and demo how to create intelligent applications using LMMs.

Thanks for watching!

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ChatGPT UI - [ Ссылка ]

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