AI dictionary · MLOps and deployment
What is MLOps?MLOps kya hai?
Also called: LLMOps
MLOps: The practices and tools for putting ML models into production and keeping them healthy.ML models ko production mein laane aur swasth rakhne ke tarike aur tools.
🧸 Think of it likeAise samjho
Like running a restaurant kitchen, not just inventing a recipe: steady supplies, quality checks and fixing things fast when they go wrong.Sirf recipe banana nahi, restaurant ki kitchen chalaane jaisa: lagaataar saamaan, quality check aur kuch bigde toh jaldi theek karna.
📘 ExplainedVistaar se
MLOps covers reproducible training, experiment tracking, model registries, CI/CD for models, deployment, monitoring for drift and performance, and retraining. LLMOps adds prompt versioning, eval suites, cost tracking, tracing and safety controls.MLOps mein reproducible training, experiment tracking, model registries, models ke liye CI/CD, deployment, drift aur performance ki monitoring, aur retraining aate hain. LLMOps prompt versioning, eval suites, cost tracking, tracing aur safety controls jodta hai.
💡 Real exampleAsli example
Automatically retraining a demand model monthly and promoting it only if it beats the current one.Demand model ko har mahine apne aap retrain karna aur sirf tab promote karna jab current ko hara de.
📖 Learn it step by stepStep by step seekho
🔗 Related termsJude hue shabd
Questions people ask
What is MLOps?
The practices and tools for putting ML models into production and keeping them healthy. MLOps covers reproducible training, experiment tracking, model registries, CI/CD for models, deployment, monitoring for drift and performance, and retraining. LLMOps adds prompt versioning, eval suites, cost tracking, tracing and safety controls.
How can I understand MLOps in simple words?
Like running a restaurant kitchen, not just inventing a recipe: steady supplies, quality checks and fixing things fast when they go wrong.
What is an example of MLOps?
Automatically retraining a demand model monthly and promoting it only if it beats the current one.
MLOps ka matlab kya hai?
ML models ko production mein laane aur swasth rakhne ke tarike aur tools. Sirf recipe banana nahi, restaurant ki kitchen chalaane jaisa: lagaataar saamaan, quality check aur kuch bigde toh jaldi theek karna.
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