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Tag: Amazon SageMaker

Improve LLM performance with human and AI feedback on Amazon SageMaker for Amazon Engineering | Amazon Web Services

The Amazon EU Design and Construction (Amazon D&C) team is the engineering team designing and constructing Amazon warehouses. The team navigates a large volume...

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Meta launches its Llama 3 open-source LLM on Amazon AWS – Tech Startups

Following the successful launch of ‘Code Llama 70B’ in January, Meta has now released the latest iteration of its open-source LLM powerhouse Llama 3...

Explore data with ease: Use SQL and Text-to-SQL in Amazon SageMaker Studio JupyterLab notebooks | Amazon Web Services

Amazon SageMaker Studio provides a fully managed solution for data scientists to interactively build, train, and deploy machine learning (ML) models. In the process...

Distributed training and efficient scaling with the Amazon SageMaker Model Parallel and Data Parallel Libraries | Amazon Web Services

There has been tremendous progress in the field of distributed deep learning for large language models (LLMs), especially after the release of ChatGPT in...

Cost-effective document classification using the Amazon Titan Multimodal Embeddings Model | Amazon Web Services

Organizations across industries want to categorize and extract insights from high volumes of documents of different formats. Manually processing these documents to classify and...

AWS at NVIDIA GTC 2024: Accelerate innovation with generative AI on AWS | Amazon Web Services

AWS was delighted to present to and connect with over 18,000 in-person and 267,000 virtual attendees at NVIDIA GTC, a global artificial intelligence (AI)...

Build an active learning pipeline for automatic annotation of images with AWS services | Amazon Web Services

This blog post is co-written with Caroline Chung from Veoneer. Veoneer is a global automotive electronics company...

Build knowledge-powered conversational applications using LlamaIndex and Llama 2-Chat | Amazon Web Services

Unlocking accurate and insightful answers from vast amounts of text is an exciting capability enabled by large language models (LLMs). When building LLM applications,...

Understanding and predicting urban heat islands at Gramener using Amazon SageMaker geospatial capabilities | Amazon Web Services

This is a guest post co-authored by Shravan Kumar and Avirat S from Gramener. Gramener, a Straive...

Use Apache Iceberg in your data lake with Amazon S3, AWS Glue, and Snowflake | Amazon Web Services

This post is co-written with Andries Engelbrecht and Scott Teal from Snowflake. Businesses are constantly evolving, and...

Seamlessly transition between no-code and code-first machine learning with Amazon SageMaker Canvas and Amazon SageMaker Studio | Amazon Web Services

Amazon SageMaker Studio is a web-based, integrated development environment (IDE) for machine learning (ML) that lets you build, train, debug, deploy, and monitor your...

Build a contextual text and image search engine for product recommendations using Amazon Bedrock and Amazon OpenSearch Serverless | Amazon Web Services

The rise of contextual and semantic search has made ecommerce and retail businesses search straightforward for its consumers. Search engines and recommendation systems powered...

Generative AI roadshow in North America with AWS and Hugging Face | Amazon Web Services

In 2023, AWS announced an expanded collaboration with Hugging Face to accelerate our customers’ generative artificial intelligence (AI) journey. Hugging Face, founded in 2016,...

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