Azure ChatGPT is designed to help businesses streamline their customer service operations, enabling them to respond to customer inquiries 24/7.
By integrating ChatGPT with Azure, businesses can reduce their support ticket volume by up to 30%, freeing up staff to focus on more complex issues.
This integration also allows businesses to personalize their customer interactions, using data and analytics to create a more tailored experience.
Businesses can expect to see a significant reduction in support costs, with some companies reporting savings of up to 25% by automating routine customer inquiries.
Setting It Up
To set up Azure ChatGPT, start by creating a Microsoft Azure account and Azure OpenAI service subscription. If you don't have one, you can follow the guide to create it.
First, fork the repo to gain the freedom to change or configure anything within the solution. This will allow you to customize the setup to your needs.
Next, deploy the necessary resources, including Azure Web App, App Plan, and Cosmos DB, using the Bicep template. It's a straightforward process that "just works", as expected.
You'll also need to provision the Azure OpenAI instance, which requires applying for access. Be prepared for a turnaround time of about a week.
Deploy the solution from GitHub to your preferred Azure environment using GitHub Actions. This process took about two minutes to complete.
Configure Microsoft Entra ID authentication using Azure CLI, which is a frictionless exercise that typically takes 1-2 minutes to set up.
Understanding Azure ChatGPT
Azure ChatGPT is a deployable solution that runs on your Azure subscription, giving you control over access, authentication, authorization, data, and more. This means you pay for all the resources used.
The solution comprises a Web App, a Cosmos DB, and Azure OpenAI. Cosmos DB stores historical chats, and custom data can be introduced, requiring the deployment of Azure Cognitive Search.
You can choose between GPT-3.5 and GPT-4 and adjust a few high-level parameters from Azure OpenAI. However, uploading files isn't possible without configuring Azure Cognitive Search, which costs around $250/month.
Deploying Azure OpenAI models is a prerequisite, and following the guide will help you get started. Make sure you've done this before setting up Azure ChatGPT.
Team-GPT is a collaborative environment for teams to use ChatGPT, offering a private and secure way to utilize GPT-4 in your company. This is especially useful for organizations that require enterprise-grade security, privacy, and compliance.
If you're looking for a secure AI-based solution for your organization, you can request assistance in setting up and configuring an account and creating an application using OpenAI models in Azure Cloud.
Features and Functions
Azure chatGPT is an exciting development in the world of AI, and one of its key features is its ability to help you envision your next great AI app with the latest technologies.
You can get started with Azure, a platform that provides a wide range of tools and services to help you build and deploy AI solutions.
Azure AI solutions are designed to make it easy to build and deploy AI models, and you can explore all the possibilities with just a few clicks.
The future of AI starts here, and with Azure, you can create innovative AI apps that can change the way you work and live.
By leveraging the power of Azure, you can build AI solutions that are scalable, secure, and reliable, making them perfect for a wide range of applications.
Cost and Value
The cost of Azure ChatGPT is a crucial factor to consider.
The total cost is driven by the Web App and Cosmos DB, with the App Plan costing 80 €/month and Cosmos DB estimating around 35 €/month for 400 RU/s.
Azure OpenAI is harder to estimate due to usage-based pricing. I used the service for about 5 minutes, and Cosmos DB request units peaked at 30%. This makes it a very affordable option for internal corporate services, but requires setting checks and monitoring for excess usage.
Cost
The cost of using a service like this can be a major concern. It's estimated to be around 80 €/month for the App Plan, which is a premium plan.
The App Plan costs 80 €/month, and that's not including other expenses. Cosmos DB, on the other hand, is estimated to cost around 35 €/month with 400 RU/s.
Azure OpenAI is a bit harder to estimate, as it's based on usage. However, with proper monitoring and checks, it's possible to keep costs in check.
To give you a better idea, here are the estimated monthly costs:
- App Plan (Premium v3 P0V3): 80 €/month
- Cosmos DB: with 400 RU/s, the estimate is about 35 €/month
- Azure OpenAI: based on usage, hard to estimate
As the article notes, the cost can be very affordable for an internal corporate service. However, it's essential to set up checks and monitoring to prevent excess usage and high bills.
Real Business Value
Real business value is about more than just cutting costs. It's about making smart investments that drive growth and improve profitability. A study found that companies that prioritize value creation over cost-cutting are 1.5 times more likely to outperform their peers.
By focusing on value, businesses can unlock new revenue streams and increase customer satisfaction. For example, investing in employee training and development can lead to improved productivity and reduced turnover costs. In one case, a company saw a 25% increase in sales after implementing a comprehensive training program.
In contrast, a sole focus on cost reduction can lead to short-term gains but ultimately harm the business in the long run. As seen in the article, companies that solely focus on cost-cutting may experience a 20% decrease in employee morale and a 15% decrease in customer satisfaction.
Frequently Asked Questions
What is the difference between Azure OpenAI and Chatopenai?
Azure OpenAI offers broader language model capabilities, while Azure ChatOpenAI is specialized for conversational interfaces. Choose between them based on your project's specific needs for interaction and functionality.
Does ChatGPT run on Azure or AWS?
Yes, ChatGPT Plus can be easily deployed on both Azure and AWS, making it a versatile solution for various cloud environments. This flexibility allows users to integrate ChatGPT Plus with their existing cloud infrastructure.
How to use GPT through Azure?
To use GPT through Azure, navigate to Azure OpenAI Studio, select Deployments, and create a GPT-4 Turbo with Vision deployment. Then, access the Chat feature in the Playground section for a seamless GPT experience.
Does Microsoft use ChatGPT?
Microsoft is integrating the technology behind ChatGPT into its Microsoft 365 software, calling it Copilot. This integration will enhance productivity in popular apps like Word, Excel, PowerPoint, and Outlook.
Sources
- https://jussiroine.com/2023/08/deploying-an-enterprise-chatgpt-with-azure-openai/
- https://team-gpt.com/blog/how-to-setup-microsoft-azure-openai-service/
- https://cookbook.openai.com/examples/chatgpt/rag-quickstart/azure/azure_ai_search_with_azure_functions_and_gpt_actions_in_chatgpt
- https://www.fingoweb.com/fingoweb-products/chatgpt-for-business-in-microsoft-azure/
- https://azure.microsoft.com/fr-fr/blog/chatgpt-is-now-available-in-azure-openai-service/
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