Generative Data Intelligence

Tag: sample

Efficient continual pre-training LLMs for financial domains | Amazon Web Services

Large language models (LLMs) are generally trained on large publicly available datasets that are domain agnostic. For example, Meta’s Llama models are trained on...

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Indian Railway Releases NFT Train Tickets to Mark Festival of Color Holi

Advertisement &nbsp &nbsp Indian Railway train ticket booking system IRCTC has created NFT train tickets...

Classical shadows based on locally-entangled measurements

Matteo IppolitiDepartment of Physics, The University of Texas at Austin, Austin, TX 78712, USADepartment of Physics, Stanford University, Stanford, CA 94305, USAFind this paper...

How to edit scanned documents: 6 quick ways

Scanning paper documents is an essential step in digitization. With more than half of small businesses still relying on paper records, you will likely have a...

Order entry automation simplified

Order entry automation can be a lifesaver for businesses.Picture this: It's the end-of-season sale, and your website is flooded with orders. But instead of...

Google’s DeepMind is coming for European football tactics

A team at Google's DeepMind claim to have demonstrated the efficacy of an AI model in predicting outcomes in soccer football game set pieces,...

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...

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. ...

Enhance code review and approval efficiency with generative AI using Amazon Bedrock | Amazon Web Services

In the world of software development, code review and approval are important processes for ensuring the quality, security, and functionality of the software being...

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