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A comprehensive guide of Distributed Data Parallel (DDP)

A comprehensive guide on how to speed up the training of your models with Distributed Data Parallel (DDP) Image by Author Introduction Hi everyone! I am Francois, Research Scientist at Meta. Welcome to this new tutorial part of the series Awesome AI

Building Analytically Mature Organizations (AMO)

A few simple frameworks to pinpoint what the analytical needs of your organization are and how to make it more data-driven Understanding your organization’s analytical maturity can give you a strong edge as a data professional. It will make your

Pipeline Dreams: Automating ML Training on AWS

In the world of machine learning, automated training pipelines streamline the journey from data to insight. They automate various parts of… Continue reading on Towards Data Science »

Data is the Foundation of Language Models

How high-quality data impacts every aspect of the LLM training pipeline… Continue reading on Towards Data Science »

Transfer Learning For Beginner

A practical guide to transfer learning in image classification Continue reading on Towards Data Science »

The Rise of Two-Tower Models in Recommender Systems

A deep-dive into the latest technology used to debias ranking models Continue reading on Towards Data Science »

I landed my first Data job, what’s next?

How to succeed in your first data role Continue reading on Towards Data Science »

How to Start a Million-Dollar Home Service Business (Make $1.3m in 19 Months)

With all the new and flashy ways you can make money online, people often forget the old-school, tried and true business models. Pool cleaning. Pest control. Roofing. Floor cleaning. Power washing. Upholstery. House cleaning.   These dirty jobs might not be

Beta Distributions: A Cornerstone of Bayesian Calibration

Exploring the Versatility of Beta Distributions in Bayesian Inference Continue reading on Towards Data Science »

Is it Time to Start Talking About Prompt Architecture in LLMs?

From prompt engineering to prompt architecture Continue reading on Towards Data Science »