Microsoft Azure OpenAI Service
Build your own applications with Generative Artificial Intelligence
Microsoft Azure OpenAI Service combines OpenAI’s advanced language models with the security and enterprise capabilities of Microsoft Azure.
The service is ideal for building intelligent applications, conversational AI, content creation, data grounding, summarization, image understanding, semantic search and natural language to code translation.
Azure OpenAI Service ensures compatibility and a smooth transition from OpenAI’s APIs to Azure. It combines the best of both worlds: cutting-edge AI models and enterprise-grade security..
What is Microsoft Azure OpenAI Service ?
Microsoft Azure OpenAI Service lets you use powerful AI models, like GPT-4, to build smart apps that can understand and generate text, code, or even create images. It runs on Microsoft Azure, ensuring your data is secure and the service is reliable. It’s great for businesses to add AI features like chatbots, content creation, or coding help to their applications.
Azure OpenAI Service: On Your Data: Run the latest models on your data
Introduction d’une nouvelle capacité dans Azure OpenAI Service qui permet aux organisations d’utiliser les derniers modèles d’IA générative sur leurs données.
What language models are available in Microsoft Azure OpenAI?
Azure OpenAI Service provides access to several language models
• GPT-4: The latest iteration of the Generative Pre-trained Transformer (GPT) series
• GPT-3: A powerful language model known for its natural language understanding and generation capabilities
• Codex: A model designed for code generation and understanding
• DALL-E: A model that generates high-quality images from textual descriptions
• Whisper: A text-to-speech model
How can your business use Microsoft Open AI to help teams improve efficiency, creativity and insights?
Build your own intelligent apps and copilots with the Azure AI Studio, leveraging a set of prebuilt and curated models from OpenAI, Meta and more. These models have been pretrained with trillions of words and can easily be applied to your scenario. Here are just some typical use cases. Developers can also add OpenAI-powered AI capabilities to your .NET applications.
Optimize customer service with conversational AI
Chatbots and virtual assistants powered by generative AI streamline and enhance customer service by understanding and responding to customer queries.
Your business can reduce waiting times, offer personalized support and improve contact center efficiency.
Create content
Generative AI algorithms automate the content creation and ideation process, allowing businesses to generate articles, blog posts, advertising copy, personalized marketing campaigns, high-quality images, videos, and graphics.
Benefit from a consistent flow of fresh, relevant and engaging content for your audiences – saving time for content creators and optimizing conversion rates.
Insights and forecasts with predictive analytics
Generative AI models can analyze historical data and identify patterns even with large data and complex data sets.
These generative algorithms can help your business make accurate predictions and informed decisions; to optimize supply chain management, inventory forecasting and demand planning.
SUMMARIZE CONTENT
Achieve summaries quickly for example categorize the sentiment of a product review
or extract keywords and entities from a document.
Language translation and natural language processing
Businesses can use generative AI models to accurately translate content in real time.
Using automation language barriers are removed across global enterprises to improve internal and external communication for employees and customers alike.ng.
Fraud detection and cybersecurity
Generative models can analyze patterns and anomalies in large datasets, to detect and prevent fraud to safeguard sensitive information.
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