Generative Data Intelligence

Tag: illustrates

Host ML models on Amazon SageMaker using Triton: TensorRT models

Sometimes it can be very beneficial to use tools such as compilers that can modify and compile your models for optimal inference performance. In...

Philippine Police Rescue 1,000 Crypto Scam Victims

Over 1,000 human trafficking victims rescued. Victims forced to work up to 18 hours daily. High-paying job promises lured victims via social media. ...

Browser Isolation Adapts to Remote Work, Greater Cloud Usage

Browser isolation technologies are gaining popularity as a way to lock down companies' business processes, as workers — especially remote workers — spend more...

Build an image search engine with Amazon Kendra and Amazon Rekognition

In this post, we discuss a machine learning (ML) solution for complex image searches using Amazon Kendra and Amazon Rekognition. Specifically, we use the...

Automate the deployment of an Amazon Forecast time-series forecasting model

Time series forecasting refers to the process of predicting future values of time series data (data that is collected at regular intervals over time)....

Quickly build high-accuracy Generative AI applications on enterprise data using Amazon Kendra, LangChain, and large language models

Generative AI (GenAI) and large language models (LLMs), such as those available soon via Amazon Bedrock and Amazon Titan are transforming the way developers...

Implement backup and recovery using an event-driven serverless architecture with Amazon SageMaker Studio

Amazon SageMaker Studio is the first fully integrated development environment (IDE) for ML. It provides a single, web-based visual interface where you can perform...

How Vericast optimized feature engineering using Amazon SageMaker Processing

This post is co-written by Jyoti Sharma and Sharmo Sarkar from Vericast. For any machine learning (ML) problem, the data scientist begins by working...

Eye-tracking is a Game Changer for XR That Goes Far Beyond Foveated Rendering

Eye-tracking—the ability to quickly and precisely measure the direction a user is looking while inside of a VR headset—is often talked about...

Prepare image data with Amazon SageMaker Data Wrangler

The rapid adoption of smart phones and other mobile platforms has generated an enormous amount of image data. According to Gartner, unstructured data now...

Exploring Creativity in Large Language Models: From GPT-2 to GPT-4

Creativity as envisioned by Midjourney. Generated by the authorThis article was originally published on the author’s blog and re-published to TOPBOTS with permission from the author.In recent...

Improve multi-hop reasoning in LLMs by learning from rich human feedback

Recent large language models (LLMs) have enabled tremendous progress in natural language understanding. However, they are prone to generating confident but nonsensical explanations, which...

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