Introduction: Retrieval Augmented Fine-Tuning (RAFT) represents a powerful approach to improving LLM performance on domain-specific tasks by combining the benefits of fine-tuning with retrieval-augmented generation. Traditional RAG systems retrieve relevant documents at inference time and include them in the prompt, but the base model wasn’t trained to effectively use retrieved context. RAFT addresses this by […]
Read more →Category: Technology Engineering
Technology Engineering
Memory Systems for LLMs: Buffers, Summaries, and Vector Storage
Introduction: LLMs have no inherent memory—each request starts fresh. Building effective memory systems enables conversations that span sessions, personalization based on user history, and agents that learn from past interactions. Memory architectures range from simple conversation buffers to sophisticated vector-based long-term storage with semantic retrieval. This guide covers practical memory patterns: conversation buffers, sliding windows, […]
Read more →The Hidden Tax on Innovation: Why FinOps Is the Most Important Discipline You’re Probably Ignoring
Every organization eventually faces the same uncomfortable realization: their cloud bill has become a runaway train. What starts as a modest monthly expense metastasizes into millions of dollars in annual spend, with nobody quite able to explain where all the money goes. FinOps Framework Overview The Three Pillars of FinOps The FinOps Foundation defines three […]
Read more →DevSecOps: Integrating Security into DevOps – Part 3
Continuing from my previous blog, let’s explore some more advanced topics related to DevSecOps implementation. Shift-Left Testing One of the key concepts in DevSecOps is shift-left testing. This means shifting security testing as far left in the software development process as possible. This helps identify security issues early in the development process, which is much […]
Read more →The Architecture Decision That Will Make or Break Your System: Monolith vs Microservices in 2025
The debate between monolithic and microservices architectures has evolved significantly over the past decade. What was once a straightforward “microservices are better” narrative has matured into a nuanced understanding that the right architecture depends entirely on context. After leading architecture decisions across dozens of enterprise systems, I’ve learned that the most expensive mistakes come not […]
Read more →LLM Prompt Templates: Building Maintainable Prompt Systems
Introduction: Hardcoded prompts are a maintenance nightmare. When prompts are scattered across your codebase as string literals, updating them requires code changes, testing, and deployment. Prompt templates solve this by separating prompt logic from application code. This guide covers building a robust prompt template system: variable substitution, conditional sections, template inheritance, version control, and A/B […]
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