Insights on AI development, LLM systems, offshore engineering, and automation for companies in the US, Canada, Australia, Singapore, and Japan.
Showing 25–36 of 78 posts
Practical implementation guide for building AI systems compliant with HIPAA (US), GDPR (EU), PIPEDA (Canada), PDPA (Singapore), and APPI (Japan). Technical patterns, audit log requirements, right-to-explanation, deletion, cross-border data transfer — from a Vietnam-headquartered engineering group with ISO 9001 and 22301 certifications.
When do you fine-tune an LLM, build a RAG system, or stay with prompt engineering? Practical decision framework with cost, latency, and quality tradeoffs from 50+ production deployments at NKKTech.
Honest production comparison of the three dominant multi-agent frameworks in 2026: LangGraph, CrewAI, and Microsoft AutoGen. Performance, debuggability, persistence, cost, and which to choose for B2B AI workloads — drawn from NKKTech deployments.
Practical, code-level guide to building an eval framework for AI agents that you'll actually maintain. Frozen eval sets, scoring functions, component-level evals, and regression tracking — the same approach NKKTech ships with every production agent.
Honest production comparison of the four vector databases that matter in 2026: Pinecone, Weaviate, pgvector, Qdrant. Latency, cost, operational complexity, scaling characteristics, and which to pick for which workload — drawn from NKKTech RAG deployments.
Practical guide to the three metrics that actually matter for evaluating production RAG systems: retrieval precision, faithfulness (no hallucination), and answer relevance. How to measure them, what targets to aim for, and how to debug regressions.
Concrete HIPAA compliance checklist for AI systems that process PHI: BAA requirements, data flow architecture, audit logging, access controls, and the gotchas with US-based LLM providers. Practical, not legalese.
Practical GDPR compliance guide for AI systems serving EU users: lawful basis, DPIA requirements, data minimization, the right to erasure for training data, and how the EU AI Act overlay changes the calculus in 2026.
Ten battle-tested prompt engineering techniques used in production AI systems in 2026: chain-of-thought, few-shot, structured output, constitutional AI, prompt caching, and more. Concrete examples and when to use each.
Concrete strategies to cut production LLM costs 50–80% without quality loss: model routing, semantic caching, prompt caching, batching, and (for self-hosted) quantization. With real cost-reduction numbers from NKKTech client projects.
Learn the 15 critical factors behind successful Vietnam software development outsourcing in 2026, from AI expertise to DevSecOps and scaling.
Learn how to scale offshore development teams in Southeast Asia with AI-powered workflows, DevSecOps, and Vietnam engineering talent.