Blog

Azure Custom Vision Updates: Enhanced Model Training and Deployment

Explore the latest updates to Azure Custom Vision including improved training capabilities, edge deployment options, and AutoML features.

Azure AI Model Catalog: Exploring Foundation Models

Explore Azure's growing catalog of foundation models and how to leverage them for various AI applications.

Azure AI Services Updates: Vision, Speech, and Language Capabilities

Exploring the latest Azure AI Services capabilities for vision, speech, and language processing in enterprise applications.

Prompt Engineering Patterns for AI Image Generation

Master prompt engineering techniques for generating high-quality images with DALL-E 2 and other AI image models.

Image Generation with DALL-E 2 on Azure OpenAI Service

Learn how to generate images using DALL-E 2 on Azure OpenAI Service for creative and business applications.

Building Document Intelligence Solutions with Azure Form Recognizer

Learn how to extract structured data from documents using Azure Form Recognizer for intelligent document processing.

Azure Cognitive Services for Computer Vision: Current Capabilities

Explore Azure Cognitive Services Computer Vision capabilities for image analysis, OCR, and object detection in your applications.

LangChain with Azure OpenAI: Building Production AI Applications

Learn how to use LangChain with Azure OpenAI Service to build robust, production-ready AI applications.

Maximizing GPT-4's Context Window: Patterns for Large Document Processing

Learn effective strategies for working within GPT-4's context window limits and processing large documents with Azure OpenAI Service.

Semantic Kernel: Building AI-Powered Applications with .NET

Learn how to use Microsoft's Semantic Kernel SDK to build intelligent applications that leverage GPT-4 and Azure OpenAI Service.

Vector Store Integrations: Choosing and Using Vector Databases

LangChain Updates: New Features and Improvements

Memory Management for LLM Applications

Conversation Summarization: Managing Long Chat Histories

Context Caching for LLM Applications

Semantic Compression: Preserving Meaning with Fewer Tokens

Prompt Compression: Reducing Token Usage

Token Estimation: Predicting API Costs

Rate Limit Management for AI APIs

Azure OpenAI Quotas: Understanding and Managing Limits

The Importance of a Father Figure

Cost Optimization for AI Workloads

Spot Instances for ML: Cost-Effective Training at Scale

Azure ML Compute: Choosing the Right Infrastructure