Generative Data Intelligence

Tag: partitioned

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...

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Minimum Trotterization Formulas for a Time-Dependent Hamiltonian

Tatsuhiko N. Ikeda1,2,3, Asir Abrar4, Isaac L. Chuang5, and Sho Sugiura4,61RIKEN Center for Quantum Computing, Wako, Saitama 351-0198, Japan2Department of Physics, Boston University, Boston,...

Keeping an eye on your cattle using AI technology | Amazon Web Services

At Amazon Web Services (AWS), not only are we passionate about providing customers with a variety of comprehensive technical solutions, but we’re also keen...

Improve performance of Falcon models with Amazon SageMaker | Amazon Web Services

What is the optimal framework and configuration for hosting large language models (LLMs) for text-generating generative AI applications? Despite the abundance of options for...

Prepare your data for Amazon Personalize with Amazon SageMaker Data Wrangler | Amazon Web Services

A recommendation engine is only as good as the data used to prepare it. Transforming raw data into a format that is suitable for...

In the Milky Way’s Stars, a History of Violence | Quanta Magazine

IntroductionLate in the evening of October 5, 1923, Edwin Hubble sat at the eyepiece of the Hooker telescope at the Mount Wilson Observatory, atop...

Improve throughput performance of Llama 2 models using Amazon SageMaker | Amazon Web Services

We’re at an exciting inflection point in the widespread adoption of machine learning (ML), and we believe most customer experiences and applications will be...

Orchestrate Ray-based machine learning workflows using Amazon SageMaker | Amazon Web Services

Machine learning (ML) is becoming increasingly complex as customers try to solve more and more challenging problems. This complexity often leads to the need...

Prime Core Faces $8M Loss Amid TerraUSD’s Collapse

Prime Core Technologies, the parent entity of crypto custodian Prime Trust, disclosed a financial setback of $8 million, largely attributed to investments in the...

Optimize data preparation with new features in AWS SageMaker Data Wrangler | Amazon Web Services

Data preparation is a critical step in any data-driven project, and having the right tools can greatly enhance operational efficiency. Amazon SageMaker Data Wrangler...

Optimize data preparation with new features in Amazon SageMaker Data Wrangler | Amazon Web Services

Data preparation is a critical step in any data-driven project, and having the right tools can greatly enhance operational efficiency. Amazon SageMaker Data Wrangler...

Effectively solve distributed training convergence issues with Amazon SageMaker Hyperband Automatic Model Tuning | Amazon Web Services

Recent years have shown amazing growth in deep learning neural networks (DNNs). This growth can be seen in more accurate models and even opening...

Shiba Inu Burn Rate Skyrockets 8,900% as Akai Token Destroys 804 Million $SHIB

The burn rate of the meme-inspired cryptocurrency Shiba Inu ($SHIB) has recently surged after a project known as Akai Token ($AKAI) moved 804 million...

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