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How to Become a Data Engineer

A shortcut for beginners in 2024 Continue reading on Towards Data Science »

Large Language Models: DistilBERT — Smaller, Faster, Cheaper and Lighter

Large Language Models: DistilBERT — Smaller, Faster, Cheaper and Lighter Unlocking the secrets of BERT compression: a student-teacher framework for maximum efficiency Introduction In recent years, the evolution of large language models has skyrocketed. BERT became one of the most popular and efficient

Generative Models and the Dance of Noise and Structure

A Guide To Building Digital Dreamers Continue reading on Towards Data Science »

Hierarchical Transformers — part 2

Hierarchical attention is faster Continue reading on Towards Data Science »

DETR (Transformers for Object Detection)

Deep Dive and clear explanations on the paper “End to end detection with transformers” Photo by Aditya Vyas on Unsplash Note: This article delves into the intricate world of Computer Vision, specifically focusing on Transformers and the Attention Mechanism. It’s recommended

A Step By Step Guide to Selecting and Running Your Own Generative Model

How to navigate the sea of models being released every day? Continue reading on Towards Data Science »

What Are Gradients, and Why Do They Explode?

By reading this post you will have a firm understanding of the most important concept in deep learning Continue reading on Towards Data Science »

5 Generative AI Use Cases Companies Can Implement Today

Getting started with LLMs? Here are 5 popular applications data teams at OpenAI, Vimeo, and other companies are putting into practice today. Image courtesy of author. The hype around generative AI is real, and data and ML teams are feeling the heat. Across

Strategic Data Analysis (Part 1)

Data analysis and the four types of questions it attempts to answer Continue reading on Towards Data Science »

NaN Values in the Python Standard Library

NaN means Not-a-Number. You can use it in numerical libraries — but also in the Python standard library. Continue reading on Towards Data Science »