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AWS Bedrock is a managed AWS service that gives developers access to foundation models (text, image and embedding models) from multiple providers and enables their use through a unified API. It supports model inference, fine-tuning with security and governance controls, and seamless integration into AWS services for production deployment.
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AWS Bedrock is a managed AWS service through which applications can choose foundation models from multiple providers and integrate them into their own solutions by API.
The approach responds to the need to use capable foundation models without building separate model-serving infrastructure for each one. AWS brings this model access together in a managed platform within its cloud ecosystem.
An application sends a request to a common Bedrock interface. Behind it, an available foundation model is selected, inputs and parameters are passed, and a generated response is returned. Model choice, access controls, data handling, and AWS integration form the operating layer around inference.
A pretrained model provides general capabilities for language or other tasks.
Inference runs a model with inputs, parameters, and an expected output.
Applications can select models by capability, cost, latency, and license.
Access, data handling, and outputs must be controlled for the use case.
Bedrock matters when teams want to integrate foundation models into AWS applications and evaluate different models. Model quality, cost, latency, privacy, provider dependence, and output control remain separate architecture and operations questions.
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