Functional Architecture

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Component	Description

Component	Description
Connection	Communication link or interface between different software systems, allowing them to exchange data, perform actions or access resources.
Dataset	Training or ingestion data from multiple sources like Storage Buckets, MYSQL, REST API.
Pipelines	Training and inferencing pipelines using which models can be fine-tuned and trained and subsequently deployed and registered as an endpoint.
Models	All models from the configured connections. The connections can be of type - OnPrem, AWS SageMaker, Azure ML, and GCP Vertex AI.
Endpoints	All endpoints from the configured connections including REST APIs, model endpoints, etc.
Adapters	Enable the integration and utilization of various services and capabilities of endpoints without providing host details.
Remote Executor	Tool that allows the execution of pipelines or programs on a remote server or VM.