Welcome to Alauda AI! Alauda AI presents best practices for large models and MLOps platforms, helping you to efficiently complete tasks in multiple scenarios such as large model applications, AI applications, and machine learning. Utilizing Alauda AI, you can quickly complete the following common tasks:
- Model storage and versioning management
- Model (large model) reasoning service release and operation
- Agent orchestration, AI application development and release
In this user manual, we will introduce you to the various functions of the Alauda AI platform so that you can make full use of the tools and services we provide. Whether you are a data scientist, machine learning engineer, or application developer, I believe that our platform can bring convenience and efficiency to your work!
Introduction to MLOps and LLMOps
MLOps (Machine Learning Operations) delineates a series of principles and tool forms in the development, training, release, and operation and maintenance processes of machine learning, large models, or other AI applications, becoming the best practice for releasing AI applications efficiently, accurately, and traceably.
Alauda AI not only covers the tool support for the subject process in the MLOps process, but also furnishes a more concise user interface for the practice of LLMOps (Large Language Model Operations). From the release of inference services for large models, to the construction of intelligent agents and applications,all are completed in a codeless way.