Azure Machine Learning Solutions - Generative AI

Generative AI in Azure Machine Learning

Streamline prompt engineering projects and build language model-based applications.

Azure Generative AI Overview

Create Generative AI Apps
Access a unified model catalog featuring pretrained foundation models from Microsoft, OpenAI Service, Hugging Face, Meta, Cohere, and more.

Enhance Prompt Flows
Speed up development by using language models to evaluate prompt variants and leveraging LangChain and Semantic Kernel libraries.

Build or Fine-Tune Models
Train models on specialized Azure AI infrastructure with GPU virtual machines and InfiniBand networking.

Operationalize Workflows
Automate AI workflows to monitor and evaluate language model performance continuously, detecting harmful content.

Models Customized for You

Integrate Generative AI into Your Apps

Foundation Model Catalog
Discover and fine-tune open-source foundation models using your data.

Prompt Flow
Optimize AI app development with interactive visual flows, variants, and evaluations.

Open-Source Framework Integration
Scale your experiments by integrating LangChain or Semantic Kernel flows into prompt flow.

Azure AI Infrastructure
Fine-tune models using specialized infrastructure along with DeepSpeed and ONNX Runtime for optimization.

Content Safety
Use built-in connections to Azure AI Content Safety to identify and filter harmful content with severity scores.

Model Monitoring
Track safety, quality evaluation metrics, and token consumption for generative AI apps in production.

Deploy machine learning models at scale and accelerate time to value with an enterprise-grade AI service.

Next Steps

Explore the multitude of resources available to get started with Generative AI in Azure Machine Learning, enabling you to quickly develop high-quality AI models.