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How physics advanced Generative AI

AssemblyAI

Artificial Intelligence (AI) has joined this cohort, pulling in ideas from physics to develop state-of-the-art models and inform how they work at a fundamental level. We won’t get into particular mathematical details, so the explanations should be helpful to readers at all experience levels in AI.

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Intuitivo achieves higher throughput while saving on AI/ML costs using AWS Inferentia and PyTorch

AWS Machine Learning Blog

This groundbreaking technology enables us to operate millions of autonomous points of purchase (A-POPs) concurrently, transforming the way customers shop. Additionally, Inferentia has also helped us reduce costs by 95 percent compared to our previous solution. We’re excited to lead this exciting new era in retail.

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Learning JAX in 2023: Part 1 — The Ultimate Guide to Accelerating Numerical Computation and Machine Learning

PyImageSearch

Many people have asked us to create a course about JAX, so we decided to take on the challenge. In this series, we’ll not only teach you about JAX, but also how to learn and understand new concepts. In this series, we’ll not only teach you about JAX, but also how to learn and understand new concepts.

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Optimize AWS Inferentia utilization with FastAPI and PyTorch models on Amazon EC2 Inf1 & Inf2 instances

AWS Machine Learning Blog

In this post we walk you through the process of deploying FastAPI model servers on AWS Inferentia devices (found on Amazon EC2 Inf1 and Amazon EC Inf2 instances). In this post we walk you through the process of deploying FastAPI model servers on AWS Inferentia devices (found on Amazon EC2 Inf1 and Amazon EC Inf2 instances).

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Serving With TF and GKE: Stable Diffusion

TensorFlow

Posted by Chansung Park and Sayak Paul (ML and Cloud GDEs) Generative AI models like Stable Diffusion 1 that lets anyone generate high-quality images from natural language text prompts enable different use cases across different industries. This is particularly useful because each component has different hardware requirements.

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Zero-shot and few-shot prompting for the BloomZ 176B foundation model with the simplified Amazon SageMaker JumpStart SDK

AWS Machine Learning Blog

In this post and accompanying notebook, we demonstrate how to deploy the BloomZ 176B foundation model using the SageMaker Python simplified SDK in Amazon SageMaker JumpStart as an endpoint and use it for various natural language processing (NLP) tasks. This is useful where limited labeled data is available for training.

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What Is Keras Core?

PyImageSearch

In this tutorial, you will learn about Keras Core , the new Keras Team repository that allows switching from the Keras backend to TensorFlow , PyTorch , and JAX. To learn how to navigate the Keras Core library, just keep reading. This means you can switch your backends like Iron Man switching his suits as and when he needs them.