APIs Feedback Transportation 
AWS Machine Learning
NOVEMBER 14, 2024
Customers can use the SageMaker Studio UI or APIs to specify the SageMaker Model Registry model to be shared and grant access to specific AWS accounts or to everyone in the organization. We will start by using the SageMaker Studio UI and then by using APIs.
AWS Machine Learning
NOVEMBER 2, 2023
When students provide answers, the solution provides real-time assessments and offers personalized feedback and guidance for students to improve their answers. Amazon Bedrock is a fully managed service that makes foundation models from leading AI startups and Amazon available via easy-to-use API interfaces.
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AWS Machine Learning
JULY 3, 2024
This is accomplished through an automated revision functionality, which allows the user to interact and send instructions and comments directly to the LLM via an interactive feedback loop. In step 3, the frontend sends the HTTPS request via the WebSocket API and API gateway and triggers the first Amazon Lambda function.
AWS Machine Learning
OCTOBER 2, 2024
It’s a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like Anthropic, Cohere, Meta, Mistral AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.
AWS Machine Learning
FEBRUARY 29, 2024
The Retrieve and RetrieveAndGenerate APIs allow your applications to directly query the index using a unified and standard syntax without having to learn separate APIs for each different vector database, reducing the need to write custom index queries against your vector store.
AWS Machine Learning
FEBRUARY 19, 2025
An ApplyGuardrail API call is made with the question and an FM response to the associated Amazon Bedrock guardrail. The Automated Reasoning checks model is triggered with the inputs from the ApplyGuardrail API, building logical representation of the input and FM response. To learn more, visit Amazon Bedrock Guardrails.
AWS Machine Learning
AUGUST 30, 2023
To help you get started, we’ve also released a set of sample one-click deployable Lambda functions ( plugins ) to integrate QnABot with your choice of leading LLM providers, including our own Amazon Bedrock service and APIs from third-party providers, Anthropic and AI21. We expect to add more sample plugins over time.
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