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Tag: SageMaker

Advanced RAG patterns on Amazon SageMaker | Amazon Web Services

Today, customers of all industries—whether it’s financial services, healthcare and life sciences, travel and hospitality, media and entertainment, telecommunications, software as a service (SaaS),...

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Unlock the potential of generative AI in industrial operations | Amazon Web Services

In the evolving landscape of manufacturing, the transformative power of AI and machine learning (ML) is evident, driving a digital revolution that streamlines operations...

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...

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...

Amazon OpenSearch H2 2023 in review | Amazon Web Services

2023 was been a busy year for Amazon OpenSearch Service! Learn more about the releases that OpenSearch Service launched in the first half of...

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. ...

How BMO improved data security with Amazon Redshift and AWS Lake Formation | Amazon Web Services

This post is cowritten with Amy Tseng, Jack Lin and Regis Chow from BMO. BMO is the...

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...

Data governance in the age of generative AI | Amazon Web Services

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach....

How Axfood enables accelerated machine learning throughout the organization using Amazon SageMaker | Amazon Web Services

This is a guest post written by Axfood AB.  In this post, we share how Axfood, a...

Techniques and approaches for monitoring large language models on AWS | Amazon Web Services

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP), improving tasks such as language translation, text summarization, and sentiment analysis....

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