MLOps articles

5 articles about MLOps, newest first.

• Managed Deep Agents: Build Production AI Agents Without Server Hassle — Learn how Managed Deep Agents let you build production AI agents by writing instructions and picking a model, while LangSmith handles the runtime—no servers needed.
• Stop the Hack: Your Guide to LLM Security and Production Optimization — Learn how to protect your AI from prompt injection and optimize LLMs for production using guardrails, LoRA, and quantization.
• Should You Train Your Own LLM? Costs, Benefits, and Smarter Alternatives — Learn when training your own LLM makes sense, the resources required, and cheaper alternatives like fine‑tuning.
• Local AI 201: Build Your Own Local LLM Setup in Minutes — Learn how to set up a local AI workstation, run models offline, and serve them via a simple API — perfect for developers and hobbyists.
• Semantic Blindness: Why LLMs Fail on Real‑World Engineering Systems — LLMs excel at text but stumble when tasked with real‑world engineering systems that have 500,000 sensors, physical causality, and strict timing. The talk reveals three failure modes — Topology Trap, Illusion of Scale, Repetition Kill Switch — and shows a hybrid architecture that blends ontologies, deterministic queries, and LLM orchestration to make AI reliable in the field.