Introduction: Context window limits are one of the most frustrating constraints when building LLM applications. You have a 100-page document but only 8K tokens of context. You want to include conversation history but it’s eating into your prompt budget. Context compression techniques solve this by reducing the token count while preserving the information that matters. […]
Read more →Month: January 2025
What is Landing Zone in Azure? How to implement it via Terraform
In Azure, a landing zone is a pre-configured environment that provides a baseline for hosting workloads. It helps organizations establish a secure, scalable, and well-managed environment for their applications and services. A landing zone typically includes a set of Azure resources such as networks, storage accounts, virtual machines, and security controls. Implementing a landing zone […]
Read more →Multimodal AI Applications: Building Systems That See, Hear, and Understand
Introduction: Multimodal AI processes and generates content across multiple modalities—text, images, audio, and video. This capability enables applications that were previously impossible: describing images, generating images from text, transcribing and understanding audio, and creating unified experiences that combine all these modalities. This guide covers the practical aspects of building multimodal applications: vision-language models for image […]
Read more →Semantic Kernel: Microsoft’s Enterprise SDK for Building AI-Powered Applications
Introduction: Semantic Kernel is Microsoft’s open-source SDK for integrating Large Language Models into applications. Originally developed to power Microsoft 365 Copilot, it has evolved into a comprehensive framework for building AI-powered applications with enterprise-grade features. Unlike other LLM frameworks that focus primarily on Python, Semantic Kernel provides first-class support for both C# and Python, making […]
Read more →Embedding Models Compared: OpenAI vs Cohere vs Voyage vs Open Source
Introduction: Embedding models convert text into dense vectors that capture semantic meaning. Choosing the right embedding model significantly impacts search quality, retrieval accuracy, and application performance. This guide compares leading embedding models—OpenAI’s text-embedding-3, Cohere’s embed-v3, Voyage AI, and open-source alternatives like BGE and E5. We cover benchmarks, pricing, dimension trade-offs, and practical guidance on selecting […]
Read more →An Introduction to DevSecOps: Unlocking Success with Real-World Examples
Introduction In today’s fast-paced world, the need for rapid and secure software development has never been more crucial. As organizations strive to meet these demands, the DevSecOps approach has emerged as a powerful solution that integrates security practices into the DevOps process. By combining development, security, and operations, DevSecOps enables teams to create high-quality, secure […]
Read more →