Deep Dives

PyTorch Tutorial for Beginners: Construct a Multiple Regression Model from Scratch

before LLMs became hyped, there was an separating Machine Learning frameworks from Deep Learning frameworks. The talk was targeting Scikit-Learn, XGBoost, and similar for ML, while PyTorch and TensorFlow dominated the scene...

Your Next ‘Large’ Language Model Might Not Be Large After All

For the reason that conception of AI, researchers have all the time held faith in scale — that general intelligence was an emergent property born out of size. If we just carry on adding...

Developing Human Sexuality within the Age of AI

by technology just about for the reason that dawn of time. Almost as soon because the printing press was invented, erotica was being published. Photography was used for erotic purposes with glee by...

Why I’m Making the Switch to marimo Notebooks

of using Jupyter Lab, I actually have moved most of my work to marimo notebooks, a brand new type of Python notebook that addresses many long-standing issues with traditional ones. This text covers...

How Relevance Models Foreshadowed Transformers for NLP

— that he saw further only by standing on the shoulders of giants — captures a timeless truth about science. Every breakthrough rests on countless layers of prior progress, until someday … all...

Generative AI Will Redesign Cars, But Not the Way Automakers Think

at a significant automotive manufacturer, watching engineers have fun what they thought was a breakthrough. They’d used generative AI to optimize a suspension component: 40% weight reduction while maintaining structural integrity, accomplished in...

Javascript Fatigue: HTMX Is All You Have to Construct ChatGPT — Part 2

1, we showed how we could leverage HTMX so as to add interactivity to our HTML elements. In other words, Javascript without Javascript. As an example that, we began constructing a straightforward chat that...

Robotics with Python: Q-Learning vs Actor-Critic vs Evolutionary Algorithms

There are 4 sorts of Machine Learning:  Supervised — when all of the observations within the dataset are labeled with a goal variable, and you may perform regression/classification to learn tips on how to predict them. Unsupervised — when there...

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