AI is a widely discussed topic, and everyone strives to comprehend how it can benefit their business. The emergence of AI has brought about new challenges in the IT world, and things have started evolving even more rapidly than before. However, Azure Open AI can assist you in navigating this complicated AI landscape. Microsoft has a history of making new technologies more accessible and understandable for developers.
The Azure OpenAI Service offers a REST API that provides access to numerous OpenAI models. These models can analyze your content and generate responses to your queries. The responses can be in the form of written answers in various languages, code in different programming languages, numerical vectors, or even images.
You need to understand a couple of things to use this service properly. The first one is Prompts and completions. This is really a request and response. The completions endpoint accepts textual data and returns textual data. For example, your prompt and completions can be like the following. Completion depends on how specific your prompt is.
You can easily input textual data from your database into OpenAI's platform to analyze, summarize, or gain insights. Azure Cosmos DB has great integration with Azure OpenAI, I believe this integration will get better and it will be the first choice when it comes to the source of data for Azure OpenAI. This gives you one more reason to learn more about this cloud-born database.
Next, it's important to understand how Azure OpenAI processes text. The text is broken down into chunks called tokens, which can be either groups of characters or words. It's worth noting that the number of tokens being processed can affect the performance and throughput of the service, and potentially, the cost as well. I will demonstrate how to use Azure OpenAI to solve business problems in future posts.
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