Written by Jessica Hawk, Corporate Vice President, Data & AI
OpenAI launched ChatGPT in December 2022, immediately inspiring people and companies to pioneer novel use cases for large language models. It’s no wonder that ChatGPT reached 1 million users within a week of launch and 100 million users within two months, making it the fastest-growing consumer application in history.1 It’s likely several use cases could transform industries across the globe.
As you may know, ChatGPT and similar generative AI capabilities found in Microsoft products like Microsoft 365, Microsoft Bing, and Microsoft Power Platform are powered by Azure. Now, with the recent addition of ChatGPT to Azure OpenAI Service as well as the preview of GPT-4, developers can build their own enterprise-grade conversational apps with state-of-the-art generative AI to solve pressing business problems in new ways. For example, The ODP Corporation is building a ChatGPT-powered chatbot to support internal processes and communications, while Icertis is building an intelligent assistant to unlock insights throughout the contract lifecycle for one of the largest curated repositories of contract data in the world. Public sector customers like Singapore's Smart Nation Digital Government Office are also looking to ChatGPT and large language models more generally to build better services for constituents and employees. You can read more about their use cases here.
Broadly speaking, generative AI represents a significant advancement in the field of AI and has the potential to revolutionize many aspects of our lives. This is not hype. These early customer examples demonstrate how much farther we can go to make information more accessible and relevant for people around the planet to save finite time and attention—all while using natural language. Forward-looking organizations are taking advantage of Azure OpenAI to understand and harness generative AI for real-world solutions today and in the future.
A question we often hear is “how do I build something like ChatGPT that uses my own data as the basis for its responses?” Azure Cognitive Search and Azure OpenAI Service are a perfect pair for this scenario. Organizations can now integrate the enterprise-grade characteristics of Azure, the ability of Cognitive Search to index, understand and retrieve the right pieces of your own data across large knowledge bases, and ChatGPT’s impressive capability for interacting in natural language to answer questions or take turns in a conversation. Distinguished engineer Pablo Castro published a great walk-through of this approach on TechCommunity. We encourage you to take a look.
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