Tag archive
How I hardened a multi-provider AI video pipeline against transient outages, model failures, process crashes, schema nulls, and local dev networking — across five focused PRs.
A plain‑English guide to RAG pipelines — from what they are to why retrieval breaks in production, with a real‑world screener that quotes evidence for every candidate score.
What I learned processing a million job listings with LLMs — architecture, cost control, and when AI beats traditional ML.
Your DPO just asked for proof that your AI pipeline doesn't leak training data. You don't have any....
Build an AI-powered code refactoring pipeline integrated with GitHub Actions CI/CD, featuring automated detection, GPT-4 refactoring, and safety valid
A new AI pipeline claims to halve diagnosis time for rare diseases. I dug into the data, patient experiences, and the tech behind the Rare Disease Data Center t
Hermes Agent runs 24/7 with persistent memory and auto-improving skills. Architect it right or watch it hallucinate at 3 AM. Here is the specification checklist.