ML Models vs LLMs Explained 🔥 MLOps vs LLMOps vs AIOps | Rajinikanth Vadla

Description

Are traditional ML models and Large Language Models (LLMs) managed the same way in production? In this video, Rajinikanth Vadla explains the REAL difference between: ✅ ML Models ✅ LLMs (Large Language Models) ✅ MLOps vs LLMOps vs AIOps This is a must-watch video for: 🔹 DevOps Engineers moving into MLOps 🔹 MLOps Engineers learning LLMOps 🔹 AI Engineers working on GenAI & AI Agents 🔹 Cloud & Platform Engineers 🔥 Topics Covered: • ML Model lifecycle vs LLM lifecycle • Why MLOps is NOT enough for LLMs • What is LLMOps in real production systems • Monitoring, drift, hallucinations & cost control • How AIOps connects infra + ML + LLM systems • Real-world enterprise architecture overview 🎯 If you want to work on production-grade AI systems, this video is for you. 📌 Subscribe for real-world MLOps, AIOps & AI Agent labs 📌 Like, Share & Comment for more deep-dive content #MLOps #LLMOps #AIOps #GenAI #DevOps #MachineLearning #LLM #AIEngineering ml model vs llm mlops vs llmops llmops explained mlops tutorial aiops explained mlops real world llm production deployment genai mlops devops to mlops mlops architecture llm monitoring ai agents ops mlops for beginners llmops architecture enterprise ai systems