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Amazon EC2 DL2q instance for cost-efficient, high-performance AI inference is now generally available

AWS Machine Learning Blog

Model category Number of models Examples​ NLP​ 157 BERT, BART, FasterTransformer, T5, Z-code MOE Generative AI – NLP 40 LLaMA, CodeGen, GPT, OPT, BLOOM, Jais, Luminous, StarCoder, XGen Generative AI – Image 3 Stable diffusion v1.5 This is a guest post by A.K Roy from Qualcomm AI. TB per second.

AI 102
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What’s Behind PyTorch 2.0? TorchDynamo and TorchInductor (primarily for developers)

PyImageSearch

This tutorial is primarily for developers who want to accelerate their deep learning models with PyTorch 2.0. In this series, you will learn about Accelerating Deep Learning Models with PyTorch 2.0. This lesson is the 2nd of a 2-part series on Accelerating Deep Learning Models with PyTorch 2.0 : What’s New in PyTorch 2.0? just keep reading.

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Meet the winners of the Kelp Wanted challenge

DrivenData Labs

Developing new tools to use satellites for monitoring and understanding kelp forests is critical for us to understand where and how kelp forests are changing.” Better tools are needed to monitor and preserve kelp forests on a large scale. Above: Overhead drone footage of giant kelp canopy. Image Credit: Tom Bell, All Rights Reserved.

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Generating Faces Using Variational Autoencoders with PyTorch

PyImageSearch

Our journey begins with training a VAE on this dataset, setting the stage for a series of captivating experiments. By the time we conclude, you’ll have a comprehensive understanding of how to implement, train, and experiment with VAEs using PyTorch. Project Structure We first need to review our project directory structure.

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Using Amazon SageMaker with Point Clouds: Part 1- Ground Truth for 3D labeling

AWS Machine Learning Blog

To label this sensor output you need a labeling tool that can handle 3D data. In part 2, we walk through how to train a model on your dataset and deploy it to production. Autonomous vehicle companies typically use LiDAR sensors to generate a 3D understanding of the environment around their vehicles. Data is essential to any ML project.

AWS 74
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Google Research, 2022 & beyond: Research community engagement

Google Research AI blog

For example, access to timely, accurate health information is a significant challenge among women in rural and densely populated urban areas across India. To solve this challenge, ARMMAN developed mMitra , a free mobile service that sends preventive care information to expectant and new mothers.

ML 72
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[Updated] 100+ Best Python Interview Questions

Mlearning.ai

Being a general-purpose language, it can be used to build almost any type of application with the right tools/libraries. Python has become one of the most popular programming languages in the world, thanks to its simplicity, versatility, and vast array of applications. What is Python? What is a dynamically typed language?

Python 52