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In this video, I have shown the difference between DevOps, LLMOps and MLOps in 25 mins.
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#devops #mlops #llmops #ai #engineering #artificialintelligence #machinelearning #aiagents #docker
📝 Video Description:
In this video, I break down the key differences between DevOps, LLMOps, and MLOps – three critical practices shaping the future of software and AI development. Whether you're a developer, data scientist, or just curious about these buzzwords, this video will help you understand:
✅ What is DevOps?
The foundation of modern software development and deployment.
Key principles: Continuous Integration (CI), Continuous Delivery (CD), and automation.
✅ What is MLOps?
How machine learning lifecycle management differs from traditional software.
Focus on model training, deployment, monitoring, and retraining.
✅What is LLMOps?
The emerging practice for managing Large Language Models (LLMs) like GPT, Bard, and others.
Unique challenges: Prompt engineering, fine-tuning, and scaling LLM deployments.