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.
JustCall
AUGUST 23, 2022
It is a cloud-based model of delivery that lets the user add video, messaging, and voice features to their existing software using the APIs. It uses the communication Application Programming Interface (APIs) to connect with existing apps and software. APIs these two servers to interact efficiently. Entertainment.
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AWS Machine Learning
APRIL 4, 2024
A Lambda function performs the same data transformation operations as the batch ingestion job at the individual record level, and ingests the data into Amazon Personalize using the PutEvents and PutItems APIs. In this solution, you can also ingest certain items and interactions data attributes into Amazon DynamoDB.
AWS Machine Learning
AUGUST 1, 2022
In this post, we demonstrate how to add features to a feature group using the newly released UpdateFeatureGroup API. To update the feature group to add a new feature, we use the new Amazon SageMaker UpdateFeatureGroup API. We ingest the DataFrame into the feature group using the SageMaker SDK FeatureGroup.ingest API.
AWS Machine Learning
AUGUST 3, 2022
In this section, we interact with the Boto3 API endpoints to update and search feature metadata. To begin improving feature search and discovery, you can add metadata using the update_feature_metadata API. You can search for features by using the SageMaker search API using metadata as search parameters.
AWS Machine Learning
NOVEMBER 15, 2023
Although this post focuses on autonomous driving, the concepts discussed are applicable broadly to domains that have rich vision-based applications such as healthcare and life sciences, and media and entertainment. For example, we can use an API chain to call an API and invoke an LLM to answer the question based on the API response.
AWS Machine Learning
SEPTEMBER 19, 2023
Large language models – The large language models (LLMs) are available via Amazon Bedrock, SageMaker JumpStart, or an API. Prerequisites To run this solution, you must have an API key to an LLM such as Anthropic Claude v2, or have access to Amazon Bedrock foundation models. Data exploration on stock data is done using Athena.
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