Introduction: LLM API costs can escalate quickly—a single GPT-4 call costs 100x more than GPT-4o-mini for the same tokens. Effective cost optimization requires a multi-pronged approach: intelligent model routing based on task complexity, aggressive caching for repeated queries, prompt optimization to reduce token usage, and batching to maximize throughput. This guide covers practical cost optimization […]
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 Versioning and A/B Testing: Engineering Discipline for Prompt Management
Introduction: Prompts are code—they define your application’s behavior and should be managed with the same rigor as source code. Yet many teams treat prompts as ad-hoc strings scattered throughout their codebase, making it impossible to track changes, compare versions, or systematically improve performance. This guide covers practical prompt management: version control systems for prompts, A/B […]
Read more →LLM Guardrails and Safety: Protecting Your AI Application from Attacks
Introduction: Deploying LLMs in production without guardrails is like driving without seatbelts—it might work fine until it doesn’t. Users will try to jailbreak your system, inject malicious prompts, extract training data, and push your model into generating harmful content. Guardrails are the safety layer between raw LLM capabilities and your users. This guide covers implementing […]
Read more →Claude API Deep Dive: Building with Anthropic’s Models
A comprehensive guide to the Anthropic Claude API covering Claude 3.5 Sonnet, tool use, vision, computer use, and production best practices.
Read more →The Complete Guide to RAG Architecture: From Fundamentals to Production
Master Retrieval-Augmented Generation (RAG) with this expert-level guide. Learn about RAG types (Naive, Advanced, Modular, Agentic), chunking strategies, embedding models, vector databases, hybrid retrieval, and production best practices with high-quality architecture diagrams.
Read more →A Comprehensive Guide to Provisioning AWS ECR with Terraform
Introduction: Amazon Elastic Container Registry (ECR) is a fully managed container registry service provided by AWS. It enables developers to store, manage, and deploy Docker container images securely. In this guide, we’ll explore how to provision a new AWS ECR using Terraform, a popular Infrastructure as Code (IaC) tool. We’ll cover not only the steps […]
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