Learn what is Machine learning operations (MLOps), how MLOps can automate the machine learning lifecycle, efficiency and effectiveness of machine learning models.
Machine learning operations (MLOps) is a set of workflow practices aiming to streamline the process of deploying and maintaining machine learning (ML) models.
Registration is free and all videos are available on-demand. ZeRO & Fastest BERT: Increasing the scale and speed of deep learning training in DeepSpeed. DeepSpeed on AzureML Large Model Training and Inference with DeepSpeed // Samyam Rajbhandari // LLMs in Prod Conference[slides] ...
See an example of regression and automated machine learning for predictions in these Python notebooks:Hardware Performance. Time-series forecasting Building forecasts is an integral part of any business, whether it's revenue, inventory, sales, or customer demand. You can use automated ML to combine...
Azure Machine Learning is a cloud service for accelerating and managing the machine learning (ML) project lifecycle. ML professionals, data scientists, and engineers can use it in their day-to-day workflows to train and deploy models and manage machine learning operations (MLOps). You can create...
For development teams adopting agile, DevOps orDevSecOps, the cloud offers on-demand, scalable resources that streamline the provisioning of development and testing environments, eliminating bottlenecks such as manually setting up servers and enabling teams to focus on building and testing cloud-native ...
For development teams adopting agile, DevOps orDevSecOps, the cloud offers on-demand, scalable resources that streamline the provisioning of development and testing environments, eliminating bottlenecks such as manually setting up servers and enabling teams to focus on building and testing cloud-native ...
crucial, as the operational challenges posed by LLMs, such as deployment speed, resource allocation, and ongoing optimization, demand a more robust framework that traditional MLOps might not fully address. This article will delve into the differences between LLMOps and MLOps in the following ...
Azure Machine Learning is a cloud service for accelerating and managing the machine learning (ML) project lifecycle. ML professionals, data scientists, and engineers can use it in their day-to-day workflows to train and deploy models and manage machine learning operations (MLOps). You can create...
Discover more about MLOps in a separate tutorial. Types of Machine Learning Machine learning can be broadly classified into three types based on the nature of the learning system and the data available: supervised learning, unsupervised learning, and reinforcement learning. Let's delve into each of...