From model selection to real-world deployment: choosing between prediction, classification, and generation, preparing data, and evaluating accuracy.
GLM-5.3 is the AI NIST rated as the most cyber-capable open-weight model yet. Based on Anthropic's findings and real attacks, learn what changed and defenses to review first.
Learn how Thai SMEs cut SNS & EC content costs with generative AI. Practical steps for creating images, videos & text for LINE & TikTok.
AI Observability guide for startups: the 3 key metrics to monitor first under resource constraints, minimal tool setup, and a phased scaling roadmap with implementation examples.
What AI automation bias is, typical failure scenarios, and countermeasures across organization, design and operations: confidence display, HITL and audit logs.
Learn how Test-Time Compute scaling works and how to optimize the tradeoff between inference cost and accuracy. A practical guide to LLM operations and cost design in the age of reasoning models.
Learn the basics of edge AI & on-device LLMs, and how to design workflows requiring low latency, data privacy, or unstable connectivity—where cloud LLMs fall short.
Compare open-weight models like GPT OSS, Phi-4, and Llama 4 Scout against cloud APIs on GPU requirements, task accuracy, and TCO. A local AI deployment guide for data sovereignty and cost optimization.
Why Bangkok is a growing AI consulting hub, common AI challenges in Thailand, how to compare global, local and hybrid firms, plus an ERP transformation case study.
PEFT explained for decision-makers: how LoRA, QLoRA and adapters cut AI model customization costs, common mistakes, industry use cases and investment insights.
Lightweight AI governance frameworks & checklists for SMEs and startups to practically adopt enterprise-grade AI standards—even with limited resources.
Discover how Thai restaurant owners can use AI to forecast customer demand, optimize staff scheduling, reduce food waste, and streamline orders. Real-world steps & case studies.
Detect shadow AI (ChatGPT, Gemini) used without approval, and learn the audit process covering risk assessment, policy development, and PDPA compliance.
