Generative Data Intelligence

Tag: Docker

How to Set Up a Bitcoin Node: A Guide for Beginners – Decrypt

The Bitcoin network and its community of users is sprawling and diverse. Fans of the top cryptocurrency can participate beyond mining or inscribing dog...

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How to run an LLM locally on your PC in less than 10 minutes

Hands On With all the talk of massive machine-learning training clusters and AI PCs you’d be forgiven for thinking you need some kind of...

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. ...

Large language model inference over confidential data using AWS Nitro Enclaves | Amazon Web Services

This post is co-written with Justin Miles, Liv d’Aliberti, and Joe Kovba from Leidos.  Leidos is a Fortune...

Automate Amazon SageMaker Pipelines DAG creation | Amazon Web Services

Creating scalable and efficient machine learning (ML) pipelines is crucial for streamlining the development, deployment, and management of ML models. In this post, we...

Streamline diarization using AI as an assistive technology: ZOO Digital’s story | Amazon Web Services

ZOO Digital provides end-to-end localization and media services to adapt original TV and movie content to different languages, regions, and cultures. It makes globalization...

Run ML inference on unplanned and spiky traffic using Amazon SageMaker multi-model endpoints | Amazon Web Services

Amazon SageMaker multi-model endpoints (MMEs) are a fully managed capability of SageMaker inference that allows you to deploy thousands of models on a single...

How BigBasket improved AI-enabled checkout at their physical stores using Amazon SageMaker | Amazon Web Services

This post is co-written with Santosh Waddi and Nanda Kishore Thatikonda from BigBasket. BigBasket is India’s largest...

Monitor embedding drift for LLMs deployed from Amazon SageMaker JumpStart | Amazon Web Services

One of the most useful application patterns for generative AI workloads is Retrieval Augmented Generation (RAG). In the RAG pattern, we find pieces of...

‘Commando Cat’ Is Second Campaign of the Year Targeting Docker

In findings released by Cado researchers, they discovered a malware campaign, coined "Commando Cat," which is targeting exposed Docker API endpoints. The cryptojacking campaign has...

‘Leaky Vessels’ Cloud Bugs Allow Container Escapes Globally

Researchers have uncovered a set of four vulnerabilities in container engine components that they dubbed "Leaky Vessels," three of which give attackers a way...

IOTA Plots Ethereum Alignment and Traders Are Suddenly Bullish – Decrypt

IOTA was once a crypto-market sensation but largely went silent during the pandemic. But the project is being pulled into the spotlight once again...

Build enterprise-ready generative AI solutions with Cohere foundation models in Amazon Bedrock and Weaviate vector database on AWS Marketplace | Amazon Web Services

Generative AI solutions have the potential to transform businesses by boosting productivity and improving customer experiences, and using large language models (LLMs) with these...

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