Remove 2010 Remove APIs Remove Scripts
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Accelerating time-to-insight with MongoDB time series collections and Amazon SageMaker Canvas

AWS Machine Learning

If you need an automated workflow or direct ML model integration into apps, Canvas forecasting functions are accessible through APIs. The SageMaker Canvas UI lets you seamlessly integrate data sources from the cloud or on-premises, merge datasets effortlessly, train precise models, and make predictions with emerging data—all without coding.

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Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock

AWS Machine Learning

Another driver behind RAG’s popularity is its ease of implementation and the existence of mature vector search solutions, such as those offered by Amazon Kendra (see Amazon Kendra launches Retrieval API ) and Amazon OpenSearch Service (see k-Nearest Neighbor (k-NN) search in Amazon OpenSearch Service ), among others.

Analytics 121
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Video auto-dubbing using Amazon Translate, Amazon Bedrock, and Amazon Polly

AWS Machine Learning

We use the custom terminology dictionary to compile frequently used terms within video transcription scripts. She is also the recipient of the Best Paper Award at IEEE NetSoft 2016, IEEE ICC 2011, ONDM 2010, and IEEE GLOBECOM 2005. Here’s an example. She holds 30+ patents and has co-authored 100+ journal/conference papers.

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Identify key insights from text documents through fine-tuning and HPO with Amazon SageMaker JumpStart

AWS Machine Learning

This notebook demonstrates how to use the JumpStart API for text classification. To run inference on this model, we first need to download the inference container ( deploy_image_uri ), inference script ( deploy_source_uri ), and pre-trained model ( base_model_uri ). Text classification.

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The Evolution of the Contact Center and Process Evaluation with Rod Jones

Vistio

2010, I sold out my interest in that consulting business, and I’ve been independent ever since. And even by 2010, when we had voice and data convergence, the technologies weren’t really appropriate yet. Today, with web books and other very easy-to-use devices and APIs, it’s a lot easier.