Building an In-House LLM Red Teaming Team: Organizing and Operating Security Testing
How companies adopting LLMs can build in-house security testing: role assignment, process design, tool selection, and tips for ongoing operations.
LLM Operations & RAG
Practical knowledge for running LLMs in production: RAG pipelines, prompt design, inference cost reduction, evaluation, and hallucination mitigation.
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What Is Graph Engineering? A Practical Guide to Designing and Operating Production-Quality Knowledge Graphs
From defining Graph Engineering to production operation: entity design, edge quality, RAG integration, and monitoring metrics explained from a practical standpoint.
Evaluation Metrics and Implementation Methods for Automatically Measuring Output Quality of Generative AI Models
Learn how to automatically measure output quality of generative AI models in production. Explore BLEU, ROUGE, BERTScore metrics, monitoring tools, and degradation detection with examples.
What Are Jev and Laya? Fine-Tuning Judge-Only Models in 4 Languages – A Verification Report
Jev is a judgment-only model that returns probabilities for each option instead of generating text. We fine-tuned Laya, a Jev-compatible OSS, in Japanese, Thai, English, and Lao, and compared accuracy, response speed, and cost against LLMs.
What is AI × Synthetic Testing? A Framework for Evaluating LLMs and AI Agents with Synthetic Data
Synthetic Test evaluates AI using synthetic data. We explain its role in LLM & AI agent quality assurance, differences from LLM-as-a-Judge, and 4 implementation steps.
What is LLM-as-a-Judge? A Method for Evaluating AI Output with AI and Implementing Hallucination Detection
LLM-as-a-Judge automates LLM output scoring. Covers Pointwise/Pairwise/Reference, bias mitigation, 4 implementation steps, and how it fits with Observability and Guardrails.
What is Semantic Caching? How AI Gateways Reduce LLM Costs and Implementation Guide
Learn how to cache AI responses using semantic similarity to reduce LLM calls for duplicate queries. Covers Semantic Cache integration with AI Gateway and cost savings estimates.
What is Inference-Time Scaling? How to Optimize the Trade-off Between AI Inference Cost and Accuracy
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.
What is Edge AI? How On-Device LLMs Work and How to Choose One for Business
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.
Local LLM / SLM Deployment Comparison — AI Utilization Without Cloud API Dependency
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.
Offshore Development Team Quality Management: Practical Approaches to Bridging Communication Gaps
Discover the causes of communication gaps in offshore development quality management and practical solutions—covering information sharing, progress tracking, and quality standards.
Budget Management and Department-wise Cost Allocation Strategies for LLM API Usage Fees
Learn budget allocation strategies for LLM API usage across multiple departments. Explore cost distribution, chargeback methods, and usage limits for organizational cost management.
