Generative Data Intelligence

Tag: dlcs

Build high-performance ML models using PyTorch 2.0 on AWS – Part 1 | Amazon Web Services

PyTorch is a machine learning (ML) framework that is widely used by AWS customers for a variety of applications, such as computer vision, natural...

Announcing the launch of new Hugging Face LLM Inference containers on Amazon SageMaker | Amazon Web Services

This post is co-written with Philipp Schmid and Jeff Boudier from Hugging Face. Today, as part of Amazon Web Services’ partnership with Hugging Face,...

Host ML models on Amazon SageMaker using Triton: CV model with PyTorch backend | Amazon Web Services

PyTorch is a machine learning (ML) framework based on the Torch library, used for applications such as computer vision and natural language processing. One...

Bitcoin Startup Lab Launches Program Supercharging Founders Building on Bitcoin

Bitcoin Startup Lab, an industry-leading part-time startup training program and community for founders, is enabling the advent of the sustainable Web3 Bitcoin economy...

Get insights on your user’s search behavior from Amazon Kendra using an ML-powered serverless stack | Amazon Web Services

Amazon Kendra is a highly accurate and intelligent search service that enables users to search unstructured and structured data using natural language processing (NLP)...

Walkabout Mini Golf Review: Essential VR Worth Scheduling With Friends

Walkabout Mini Golf is an essential VR title that belongs in every library alongside the likes of Beat Saber. Whether you’re new to Walkabout...

Reduce Amazon SageMaker inference cost with AWS Graviton

Amazon SageMaker provides a broad selection of machine learning (ML) infrastructure and model deployment options to help meet your ML inference needs. It’s a...

Achieve high performance with lowest cost for generative AI inference using AWS Inferentia2 and AWS Trainium on Amazon SageMaker

The world of artificial intelligence (AI) and machine learning (ML) has been witnessing a paradigm shift with the rise of generative AI models that...

Optimized PyTorch 2.0 inference with AWS Graviton processors

New generations of CPUs offer a significant performance improvement in machine learning (ML) inference due to specialized built-in instructions. Combined with their flexibility, high...

Hosting ML Models on Amazon SageMaker using Triton: XGBoost, LightGBM, and Treelite Models

One of the most popular models available today is XGBoost. With the ability to solve various problems such as classification and regression, XGBoost has...

Deploy large models at high performance using FasterTransformer on Amazon SageMaker

Sparked by the release of large AI models like AlexaTM, GPT, OpenChatKit, BLOOM, GPT-J, GPT-NeoX, FLAN-T5, OPT, Stable Diffusion, and ControlNet, the popularity of...

Open World Survival Game ‘Green Hell VR’ is Getting a Co-op Mode & New Story in 3-part DLC

Incuvo’s VR adaptation of its popular open world survival game Green Hell is getting a three-part DLC that’s said to bring a...

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