Generative Data Intelligence

Tag: Amazon SageMaker

Enhance performance of generative language models with self-consistency prompting on Amazon Bedrock | Amazon Web Services

Generative language models have proven remarkably skillful at solving logical and analytical natural language processing (NLP) tasks. Furthermore, the use of prompt engineering can...

Optimize price-performance of LLM inference on NVIDIA GPUs using the Amazon SageMaker integration with NVIDIA NIM Microservices | Amazon Web Services

NVIDIA NIM microservices now integrate with Amazon SageMaker, allowing you to deploy industry-leading large language models (LLMs) and optimize model performance and cost. You...

Fine-tune Code Llama on Amazon SageMaker JumpStart | Amazon Web Services

Today, we are excited to announce the capability to fine-tune Code Llama models by Meta using Amazon SageMaker JumpStart. The Code Llama family of...

Transform one-on-one customer interactions: Build speech-capable order processing agents with AWS and generative AI | Amazon Web Services

In today’s landscape of one-on-one customer interactions for placing orders, the prevailing practice continues to rely on human attendants, even in settings like drive-thru...

Federated learning on AWS using FedML, Amazon EKS, and Amazon SageMaker | Amazon Web Services

This post is co-written with Chaoyang He, Al Nevarez and Salman Avestimehr from FedML. Many organizations are...

Enable data sharing through federated learning: A policy approach for chief digital officers | Amazon Web Services

This is a guest blog post written by Nitin Kumar, a Lead Data Scientist at T and T Consulting Services, Inc. ...

Best practices to build generative AI applications on AWS | Amazon Web Services

Generative AI applications driven by foundational models (FMs) are enabling organizations with significant business value in customer experience, productivity, process optimization, and innovations. However,...

Gemma is now available in Amazon SageMaker JumpStart  | Amazon Web Services

Today, we’re excited to announce that the Gemma model is now available for customers using Amazon SageMaker JumpStart. Gemma is a family of language models based on...

Set up cross-account Amazon S3 access for Amazon SageMaker notebooks in VPC-only mode using Amazon S3 Access Points | Amazon Web Services

Advancements in artificial intelligence (AI) and machine learning (ML) are revolutionizing the financial industry for use cases such as fraud detection, credit worthiness assessment,...

Efficiently fine-tune the ESM-2 protein language model with Amazon SageMaker | Amazon Web Services

In this post, we demonstrate how to efficiently fine-tune a state-of-the-art protein language model (pLM) to predict protein subcellular localization using Amazon SageMaker. ...

Unlock personalized experiences powered by AI using Amazon Personalize and Amazon OpenSearch Service | Amazon Web Services

OpenSearch is a scalable, flexible, and extensible open source software suite for search, analytics, security monitoring, and observability applications, licensed under the Apache 2.0...

Unlock personalized experiences powered by AI using Amazon Personalize and Amazon OpenSearch Service | Amazon Web Services

OpenSearch is a scalable, flexible, and extensible open source software suite for search, analytics, security monitoring, and observability applications, licensed under the Apache 2.0...

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