Endpoint‚ÄãAmazon SageMaker is a system that can build, train, and deploy machine learning (ML) models with fully managed infrastructure, tools, and workflows.We use SageMaker to host our model and expose it as the SageMaker Endpoint.See a usage example.from langchain.llms import SagemakerEndpointfrom langchain.llms.sagemaker_endpoint import LLMContentHandlerText Embedding Models‚ÄãBedrock‚ÄãSee a usage example.from langchain.embeddings import BedrockEmbeddingsSageMaker Endpoint‚ÄãSee a usage example.from langchain.embeddings import SagemakerEndpointEmbeddingsfrom langchain.llms.sagemaker_endpoint import ContentHandlerBaseDocument loaders‚ÄãAWS S3 Directory and File‚ÄãAmazon Simple Storage Service (Amazon S3) is an object storage service.
All functionality related to Amazon AWS platform
All functionality related to Amazon AWS platform ->: Endpoint‚ÄãAmazon SageMaker is a system that can build, train, and deploy machine learning (ML) models with fully managed infrastructure, tools, and workflows.We use SageMaker to host our model and expose it as the SageMaker Endpoint.See a usage example.from langchain.llms import SagemakerEndpointfrom langchain.llms.sagemaker_endpoint import LLMContentHandlerText Embedding Models‚ÄãBedrock‚ÄãSee a usage example.from langchain.embeddings import BedrockEmbeddingsSageMaker Endpoint‚ÄãSee a usage example.from langchain.embeddings import SagemakerEndpointEmbeddingsfrom langchain.llms.sagemaker_endpoint import ContentHandlerBaseDocument loaders‚ÄãAWS S3 Directory and File‚ÄãAmazon Simple Storage Service (Amazon S3) is an object storage service.