What it really takes to automate defect detection with AI, from lighting and labeling rare defects to setting reject thresholds, integrating with MES, and rolling out…

· 11 min

A practical guide to testing AI agents before launch, covering success metrics, trajectory checks, golden datasets, LLM judges, guardrails, CI regression tests and post-launch monitoring, with…

· 11 min

QLoRA (Quantized Low-Rank Adaptation) lets you fine-tune large language models on a single GPU. Here is how it works, when to use it over RAG, and…

· 11 min

A practical reference design for enterprise RAG that holds up in production, covering ingestion, hybrid retrieval, reranking, document-level permissions, citations, evaluation, freshness, cost and observability.

· 11 min