IBM Journey to AI blog

DECEMBER 15, 2023

Open-source artificial intelligence (AI) refers to AI technologies where the source code is freely available for anyone to use, modify and distribute. Leveraging existing libraries and tools, small teams of developers can build valuable applications for diverse platforms like Microsoft Windows, Linux, iOS and Android.

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AWS Machine Learning Blog

JUNE 29, 2023

We utilize Hugging Face’s parameter-efficient fine-tuning (PEFT) library and quantization techniques through bitsandbytes to support interactive fine-tuning of extremely large models using a single notebook instance. Typically, the full precision representations of these very large models don’t fit into memory on a single or even several GPUs.

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PyImageSearch

OCTOBER 2, 2023

Why Does the Encoder of a VAE Follow a Gaussian Distribution? A special emphasis will be placed on the Gaussian distribution’s pivotal role in VAEs and the balance between reconstruction loss and KL divergence. Using the renowned Fashion-MNIST dataset, we’ll guide you through understanding its nuances.

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Flipboard

NOVEMBER 27, 2023

Definitions Definition 1 The probability distribution of the outcome after the intervention is given by the equation: where the distribution of the outcome is defined as the probability assigned by the model to each outcome level. Well, that’s a mouthful. What do we mean by that?

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AWS Machine Learning Blog

FEBRUARY 1, 2023

Even with the use of advanced distributed training libraries like FSDP and DeepSpeed, it’s common for training jobs to require hundreds of accelerator devices for several weeks or months at a time. Today, we are excited to announce official support for distributed training jobs using Amazon EKS and EC2 Trn1 instances.

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IBM Journey to AI blog

OCTOBER 20, 2023

AI platforms assist with a multitude of tasks ranging from enforcing data governance to better workload distribution to the accelerated construction of machine learning models. Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way.

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Mlearning.ai

JUNE 5, 2023

Computer Vision Stepping in tools Ubuntu Ubuntu has several advantages over other OS for computer vision, such as: Ubuntu is free and customizable and Unlike proprietary OS like Windows or Mac OS, Linux does not require any license fee or activation code to use. Whatever your goal is, there is a tool for you. Let’s get started!

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PyImageSearch

AUGUST 14, 2023

With hundreds of millions of items in its catalog, it has made shopping easy for customers by putting the items they are likely to purchase in front. Everyone who comes to amazon.com sees a different homepage personalized according to his interests and purchases. This lesson will cover several aspects of Amazon recommendations (e.g.,

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PyImageSearch

JANUARY 23, 2023

Table of Contents Scaling Kaggle Competitions Using XGBoost: Part 4 What Is XGBoost? Our Dummy Dataset Breaking Down the Math Configuring Your Development Environment Having Problems Configuring Your Development Environment? The goal is to nullify the abstraction created by packages as much as possible. What Is XGBoost?

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PyImageSearch

AUGUST 28, 2023

Ready to run the code immediately on your Windows, macOS, or Linux system? And best of all, these Jupyter Notebooks will run on Windows, macOS, and Linux! This tutorial will guide you through the intricacies of AugMix, a data augmentation method that enhances the robustness of your models and improves their predictive certainty.

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PyImageSearch

SEPTEMBER 25, 2023

Highly specialized distributed learning algorithms and efficient serving mechanisms are required to process and serve such massive information in the user base and video corpus. Their recommendations ( Figure 1 ) help billions of users discover personalized content from an ever-growing corpus of videos. RecSys’16 ). RecSys’16 ).

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AWS Machine Learning Blog

APRIL 18, 2023

Machine and process failures are often addressed by reactive activity after incidents happen or by costly preventive maintenance, where you run the risk of over-maintaining the equipment or missing issues that could happen between the periodic maintenance cycles.

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PyImageSearch

OCTOBER 23, 2023

We’ll explore tasks ranging from reconstructing the validation set to sampling from the standard normal distribution, probing the first 50 latent dimensions, and even enhancing visual attributes through the magic of latent space arithmetic. Ready to run the code immediately on your Windows, macOS, or Linux system?

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Marktechpost

JULY 18, 2023

Castmagic is a user-friendly program that works with Chrome, Safari, Firefox, Windows, Linux, and macOS and doesn’t need coding. Users may easily and effectively produce, modify, and distribute audio material on its platform. Also, it offers a superb transcript for enhanced accessibility and search engine optimization.

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PyImageSearch

JANUARY 8, 2024

sketches or cartoons of cats and dogs) visibly look very different in appearance or in other words have come from very different distributions. sketches or cartoons of cats and dogs) visibly look very different in appearance or in other words have come from very different distributions. There are different ways to look at robustness.

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PyImageSearch

DECEMBER 12, 2022

Table of Contents Scaling Kaggle Competitions Using XGBoost: Part 2 AdaBoost The Dataset Sample Weights Choosing the Right Feature Significance of a Stump Calculating the New Sample Weights Moving Forward: The Subsequent Stumps Piecing It Together Configuring Your Development Environment Having Problems Configuring Your Development Environment?

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Flipboard

JULY 10, 2023

By the end of this tutorial, you will have gained a robust understanding of the underlying principles of Autoencoders, familiarized yourself with different types, and learned about their practical applications. Imagine a room filled with all your clothing items — jeans, sweaters, boots, and jackets in various styles. What Are Autoencoders?

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PyImageSearch

SEPTEMBER 11, 2023

Furthermore, the generalization performance of these models considerably deteriorates if the distribution of examples at test time deviates from the data distribution of the training examples. Looking for the source code to this post? They can perform that particular task on novel examples at test time. without further fine-tuning).

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PyImageSearch

JANUARY 22, 2024

This procedure concludes after a predetermined number of steps, culminating in an output image that mirrors a sample from the model’s training data distribution. The training phase involves exposing the model to numerous samples from a specific distribution (e.g., Setup and Imports Diffusers But What Is AutoPipeline ?

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AWS Machine Learning Blog

JUNE 6, 2023

x but faster and at scale with improved training speeds, lower memory usage, and enhanced distributed capabilities. x but faster and at scale with improved training speeds, lower memory usage, and enhanced distributed capabilities. With the recent PyTorch 2.0 release, AWS customers can now do same things as they could with PyTorch 1.x

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Marktechpost

JULY 23, 2023

Choosing which tool to use can be difficult because so many have gained popularity in the market to stay competitive. You choose your future when you select a machine learning tool. A single codebase is compatible with Spark and Pandas (testing, smaller datasets) (distributed datasets).

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Heartbeat

DECEMBER 27, 2023

It’s more like distributing a physical machineʼs's capacity among many users or virtual environments. Different VMs can be run on the same physical host; for example, a parallel physical host running Linux VM, macOS VM, and Microsoft VM. The article will contain hands-on sessions with practical coding examples as a use case.

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PyImageSearch

JULY 24, 2023

Going Beyond with Keras Core The Power of Keras Core: Expanding Your Deep Learning Horizons Show Me Some Code JAX Harnessing model.fit() Imports and Setup Data Pipeline Build a Custom Model Build the Image Classification Model Train the Model Evaluation Summary References Citation Information What Is Keras Core? Enter Keras Core!

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PyImageSearch

JANUARY 15, 2024

Home Table of Contents Adversarial Learning with Keras and TensorFlow (Part 2): Implementing the Neural Structured Learning (NSL) Framework and Building a Data Pipeline Adversarial Learning with NSL CIFAR-10 Dataset Configuring Your Development Environment Need Help Configuring Your Development Environment?

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Dlabs.ai

SEPTEMBER 26, 2023

” Choose a name and region for your bucket. Recently, we wrote a guide on deploying MLflow on Google Cloud Platform , and now we will share a comprehensive, step-by-step guide on setting up MLflow on AWS using Terraform. If you have any questions or run into problems, you can find answers there. Variables Create a variables.tf

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AWS Machine Learning Blog

FEBRUARY 2, 2024

In the RAG pattern, we find pieces of reference content related to an input prompt by performing similarity searches on embeddings. Embeddings capture the information content in bodies of text, allowing natural language processing (NLP) models to work with language in a numeric form. Then we use K-Means to identify a set of cluster centers.

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How to Learn Machine Learning

JANUARY 10, 2023

Well, as all know that necessity is the mother of inventions; similarly, for doing monetary transactions without the interference of any central authority or financial institution, the development of blockchain apps is a must. Are you interested in getting into blockchain and Crypto wallet development ? Are you a fresher?

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PyImageSearch

SEPTEMBER 18, 2023

This lesson is the last of a 2-part series on Segment Anything Model (SAM) from Meta AI : SAM from Meta AI (Part 1): Segmentation with Prompts SAM from Meta AI (Part 2): Integration with CLIP for Downstream Tasks (this tutorial) To learn how to integrate SAM with CLIP for downstream tasks, just keep reading.

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PyImageSearch

MAY 1, 2023

Home Table of Contents Training the YOLOv8 Object Detector for OAK-D Introduction A Primer on YOLOv8 Configuring Your Development Environment Need Help Configuring Your Development Environment? The goal would be to train a YOLOv8 variant that can learn to recognize 1 of 5 hand gestures (e.g., Looking for the source code to this post?

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PyImageSearch

AUGUST 7, 2023

LinkedIn has made it easier for professionals to connect and build their network, look for new job opportunities, get professional advice from others in the same field, and build connections to help them advance in their careers. LinkedIn has also become a popular platform for recruiters to find new talent.

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PyImageSearch

JULY 17, 2023

Ready to run the code immediately on your Windows, macOS, or Linux system? And best of all, these Jupyter Notebooks will run on Windows, macOS, and Linux! Home Table of Contents Implementing a Convolutional Autoencoder with PyTorch Configuring Your Development Environment Need Help Configuring Your Development Environment?

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AWS Machine Learning Blog

JULY 24, 2023

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). We also demonstrate hosting a sample model that is deployed in parallel across all NeuronCores for maximum hardware utilization. So that changes the architecture diagram a little bit.

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PyImageSearch

JUNE 19, 2023

Figure 1: Distribution of applications of recommendation systems (source: Ko et al., These engines utilize user data (e.g., followers, tweets, pictures, likes and dislikes, ratings, etc.) to deliver personalized recommendations. Understanding the user’s taste is crucial for a successful item recommendation, and various techniques (e.g.,

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The MLOps Blog

MARCH 15, 2023

This article is a real-life study of building a CI/CD MLOps pipeline. We’ll delve into the MLOps practices and strategies we tried and implemented across some of our projects. CI/CD ensures that models are thoroughly tested and validated before they are deployed to a production environment. I would say the same happened in our case.

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PyImageSearch

NOVEMBER 6, 2023

Home Table of Contents Image Segmentation with U-Net in PyTorch: The Grand Finale of the Autoencoder Series Introduction U-Net Framework Configuring Your Development Environment Need Help Configuring Your Development Environment? Let’s embark on this grand finale together!

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