These are the challenges that Microsoft is addressing with the rollout of Azure OpenAI Services.

Companies that want to build products with technologies like GPT-3 must overcome various technical, legal, ethical, and financial hurdles.

From email composition to text summary, website design, and even software code generation, the large language model has shown promise to be a platform for innovation and new products.īut there’s a big difference between proving that a deep learning model works and creating a working business model on top of it. Since the release of GPT-3, many developers have used it to create interesting and sometimes unexpected applications. “Now we are taking what OpenAI has released and making it available with all the enterprise promises that businesses need to move into production.

“We are just in the beginning stages of figuring out what the power and potential of GPT-3 is, which is what makes it so interesting,” said Eric Boyd, Microsoft corporate vice president for Azure AI. The new service can also have important implications for OpenAI, which is becoming increasingly dependent and entrenched in the business goals of Microsoft. It will be an opportunity for the software giant to strengthen its hold on the new business applications taking shape around advances in natural language processing and generation. With the release of Azure OpenAI Service, Microsoft will make the power of large language models available to a wide range of organizations and industries. The public release of GPT-3 comes after one year of limited trials through OpenAI’s own API service and a few specialized integrations with Microsoft’s software development products. This article is part of our series that explores the business of artificial intelligenceĭevelopers will soon be able to use GPT-3, OpenAI’s flagship language model, through the new Azure OpenAI Service, announced at the Microsoft Ignite conference this week.

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