Explore the Model Catalogue in Azure ML studio and learn how to create an Online Inference EndPoint for serving predictions using a Foundation QA HuggingFace model. Dive into a 41-minute tutorial that demonstrates the process of setting up and utilizing Azure Machine Learning's powerful features for question-answering tasks. Gain hands-on experience with code examples available on GitHub, enabling you to implement and customize your own machine learning solutions. Enhance your skills in Azure ML, foundation models, and inference endpoints while focusing on practical applications in the field of question-answering systems.
Overview
Syllabus
Azure ML: Foundation models Inference Endpoint Q&A #azureml #machinelearning
Taught by
The Machine Learning Engineer
Related Courses
-
Train models in Azure Machine Learning with the CLI (v2)
-
Train and manage a machine learning model with Azure Machine Learning
-
Develop Custom Object Detection Models with NVIDIA and Azure Machine Learning
-
Large Language Models with Azure
-
Work with generative artificial intelligence (AI) models in Azure Machine Learning
-
Train compute-intensive models with Azure Machine Learning
