Introduction: Context windows are limited and tokens are expensive. Long prompts with extensive context, examples, or retrieved documents quickly hit limits and drive up costs. Prompt compression techniques reduce token count while preserving the information LLMs need to generate quality responses. This guide covers practical compression strategies: token pruning to remove low-information tokens, extractive summarization […]
Read more →Category: Emerging Technologies
Emerging technologies include a variety of technologies such as educational technology, information technology, nanotechnology, biotechnology, cognitive science, psychotechnology, robotics, and artificial intelligence.
Prompt Engineering Best Practices: From Basic Techniques to Advanced Reasoning Patterns
Introduction: Prompt engineering is the art and science of communicating effectively with large language models. Unlike traditional programming where you write explicit instructions, prompt engineering requires understanding how models interpret language, what context they need, and how to structure requests for optimal results. This guide covers the fundamental techniques that separate amateur prompts from production-quality […]
Read more →Prompt Debugging Techniques: Systematic Approaches to Fixing LLM Failures
Introduction: Prompt debugging is an essential skill for building reliable LLM applications. When prompts fail—producing incorrect outputs, hallucinations, or inconsistent results—systematic debugging techniques help identify and fix the root cause. Unlike traditional software debugging where you can step through code, prompt debugging requires understanding how language models interpret instructions and where they commonly fail. This […]
Read more →Prompt Templates and Management: Building Maintainable LLM Applications
Introduction: As LLM applications grow in complexity, managing prompts becomes a significant engineering challenge. Hard-coded prompts scattered across your codebase make iteration difficult, A/B testing impossible, and debugging a nightmare. Prompt template management solves this by treating prompts as first-class configuration—versioned, validated, and dynamically rendered. A good template system separates prompt logic from application code, […]
Read more →Azure Traffic Manager: A Solutions Architect’s Guide to Global DNS-Based Load Balancing
In the world of globally distributed applications, ensuring users connect to the optimal endpoint is crucial for performance and reliability. Azure Traffic Manager stands as Microsoft’s DNS-based traffic load balancer, enabling you to distribute traffic across global Azure regions and external endpoints. After architecting numerous multi-region deployments, I’ve come to appreciate Traffic Manager as an […]
Read more →Introduction to Docker and Containers: A Beginner’s Guide
Containers are a popular technology for developing and deploying applications. They provide an isolated runtime environment that runs an application and its dependencies, making it easier to package, deploy, and manage the application. Docker is a platform for managing containers that has become very popular in recent years. In this article, we’ll provide an introduction […]
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