Azure OpenAI Featuring ChatGPT-4: A Powerful Way To Grow Your Business
Microsoft recently announced that ChatGPT-4 is now available in preview in Azure OpenAI Service. The integration of ChatGPT offers new ways for software companies like yours to build for the future.
Featuring a comprehensive list of resources and tools, Azure OpenAI helps ISVs create intelligent and efficient systems to streamline operations, enhance customer experiences, and drive business growth. The result is an ever-expanding array of business opportunities.
Start right away by using Azure OpenAI’s machine learning capabilities to build predictive models, automate complex processes and improve decision-making. That includes deploying ChatGPT and other large language models (LLMs) integrated with the Azure Cognitive Services portfolio to create systems able to optimize supply chain ops, generate insights from large datasets, predict customer behavior, and so much more.
Optimize costs while helping customers focus their valuable resources where they’ll make the most significant impact. For instance, you can use Azure OpenAI to develop virtual assistants that process an expansive array of tasks, including customer inquiry handling, support requests, marketing automation, social media content generation, and product descriptions for retail customers.
By deploying these applications, businesses can reduce pressure on their customer service, support, and marketing teams, enabling them to manage their resources better. A great example is allowing chatbots and virtual assistants to triage requests and answer frequently asked questions giving customer-facing staff more time to focus on individual customers who require nuanced solutions to complex issues.
As an ISV interested in the rapid adoption of AI-powered applications, you may be interested to know that ChatGPT on Azure OpenAI reached 1 million users after only five days, according to Statista.
If you thought Azure OpenAI was powerful before, get ready to experience the new ChatGPT-4-enabled version. The latest build is trained on a far more extensive and diverse dataset. The result is an updated language model able to understand and generate texts in multiple languages, handle over 25,000 words of text, interact for extended conversations, and generate more natural, accurate, and contextually appropriate responses.
It’s time to reimagine how we can build together to unlock a more connected and inclusive world. Ready to get started? Take the first step by exploring Azure for ISVs.