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#AI engineering

Posts tagged “AI engineering”.

4 POSTS
Complete Guide to RAG System Performance Evaluation: In-Depth Analysis from Faithfulness to Context Relevancy
AI & Automation

Complete Guide to RAG System Performance Evaluation: In-Depth Analysis from Faithfulness to Context Relevancy

This guide shows how to diagnose LLM-based RAG system performance at a fundamental level, beyond simple output comparison. From definitions of core metrics such as Faithfulness and Context Relevancy through practical test-case design and sc

Jun 3
From LLM Performance Measurement to Cost Optimization: A Practical Evaluation Framework Every Engineer Should Know
AI & Automation

From LLM Performance Measurement to Cost Optimization: A Practical Evaluation Framework Every Engineer Should Know

This guide solves the dilemma of focusing only on Accuracy when adopting LLMs—then hitting cost explosions and slow responses. It presents an integrated framework for measuring production-critical metrics such as Latency, Cost, and RAG eval

May 26
[Advanced Guide] From Diagnosing RAG Performance Degradation to HyDE and Re-ranking: Production-Level Optimization Strategies
AI & Automation

[Advanced Guide] From Diagnosing RAG Performance Degradation to HyDE and Re-ranking: Production-Level Optimization Strategies

Diagnose the root causes of why RAG systems underperform in production, and get a complete rundown of advanced techniques beyond naive retrieval. We cover immediately applicable architecture improvements—including HyDE, re-ranking, and sema

May 24
[Advanced Part 3] Beyond RAG: An Architecture Guide to Data Productization—Turning Data Itself into a Product
AI & Automation

[Advanced Part 3] Beyond RAG: An Architecture Guide to Data Productization—Turning Data Itself into a Product

Going beyond the limits of conventional RAG and agent workflows, this article shows how to secure data trustworthiness—the core driver of LLM success. From the concept of data productization through data catalogs and a governance roadmap, i

May 20