LLM Ops Explained: How to Build Scalable AI Systems in 2025 скачать в хорошем качестве

LLM Ops Explained: How to Build Scalable AI Systems in 2025

LLM Ops Explained: How to Build Scalable AI Systems in 2025 📌 Join the Free Agentic AI Career Webinar → https://interviewkickstart.com/agenti... AI playbook 👉 https://interviewkickstart.com/guide/... Most AI demos look cool but fall apart in the real world. That’s where LLM Ops comes in — the engineering discipline that makes large language models reliable, scalable, and production-ready. In this video, you’ll learn how companies like OpenAI, Anthropic, and Google actually deploy LLM systems at scale — including guardrails, orchestration, evaluation, and monitoring. If you want to move beyond toy demos and build real AI products, this is your blueprint. Timestamps 0:00 – Why most AI demos fail in production 1:20 – What is LLM Ops? (MLOps → LLM Ops evolution) 3:05 – Key components of an LLM Ops pipeline 5:45 – Guardrails and safety in LLM systems 8:10 – Evaluating LLMs: Beyond accuracy 10:15 – Scaling LLM applications for millions of users 12:40 – Case study: How FAANG+ teams deploy LLMs 15:05 – Future of LLM Ops (agents, multi-modal, real-time AI) 18:20 – Final takeaways & how to get started Mock Interviews -    • Mock Interviews   Uplevel with Omkar Deshpande -    • Uplevel with Omkar Deshpande   Subscribe to Interview Kickstart Youtube Channel so that you don't miss any important video that may help boost your career Subscribe -    / interviewkickstart   Join in our webinar - https://www.interviewkickstart.com/ Follow us at Facebook -   / interviewkickstart   Instagram -   / interviewkickstart   #MAANG #FAANG #InterviewTips #InterviewKickstart #AI #DSPy #MachineLearning #OpenAI #GPT4 #CodeExecution #ArtificialIntelligence #LearningAgent #RAG #DataScience #Tutorial #LiveDemo