Ml Ops: Best Practices For Maintaining And Monitoring Llms In Production
Machine Learning Operations refers to the practice of managing and orchestrating machine learning models in production environments. This includes maintaining and monitoring Large Language Models (LLMs) to ensure optimal performance and reliability.
Areas of application
- production environments
- machine learning models
- Large Language Models (LLMs)
- sentiment analysis
- social media posts
Example
For example, a company may use ML Ops to deploy and manage a LLM for sentiment analysis on social media posts, ensuring that the model is performing accurately and efficiently over time.