towardsdatascience.comadded August 2026
Towards Data Science - Mediumby Mariya Mansurova20d ago
TypeSafe.AI recently launched its first model, Jev. They claim it’s the first model of a new kind (a System One model) that is fundamentally different from the LLMs we’ve been working with (and...
Towards Data Science - Mediumby Thuwarakesh Murallie20d ago
Spirit Airlines collapsed. It started auctioning its assets. What would you normally expect to see in an airline's bankruptcy auction? Aircraft, equipment, software, maybe even airport slots too.
Towards Data Science - Mediumby Spyros Georgopoulos20d ago
Ask a coding assistant for a random forest and inspect the four lines it gives you: the imports are correct, the estimator fits, and predictions come back in the expected shape.
Towards Data Science - Mediumby Partha Sarkar21d ago
Retrieval-Augmented Generation (RAG) is the most widely used LLM use case across organizations. By vectorizing documents and retrieving semantically similar chunks at query time, RAG mitigates...
Towards Data Science - Mediumby Muhammad Ardi Putra21d ago
Introduction In this article, I am going to review and implement the deep learning paper titled “CBAM: Convolutional Block Attention Module” by Woo et al. [1].
Towards Data Science - Mediumby Boris Dzhingarov22d ago
My agency buys editorial placements from independent publishers. The supplier list is a little over 10,000 websites, every one of them a company that sends us invoices, and keeping that list clean...
Towards Data Science - Mediumby Gursimar Singh22d ago
There is a moment happening in offices and bedrooms all over the world right now, and it looks like this. Three AI agent sessions are running. One is refactoring something. One is writing tests.
Towards Data Science - Mediumby Reya Vir23d ago
Introduction Vibe coding lets anyone build a web app with nothing but a natural language prompt. You ask an LLM agent for what you want, and you get a polished interface in seconds.
Towards Data Science - Mediumby Stephanie Kirmer23d ago
I was recently asked by a college student in data science and computer science for my advice on entering and succeeding in the field of data science and machine learning today, without selling your...
Towards Data Science - Mediumby Emmimal P Alexander23d ago
TL;DR When multiple AI coding agents talk to each other, they can still duplicate work, get the task order wrong, and waste time. Text chat alone isn't enough to keep them on the same page.
Towards Data Science - Mediumby Thomas Reid24d ago
Many years ago, if you wanted to store large amounts of data that could be sensibly queried, a database like Oracle or Postgres and such was your main choice.
Towards Data Science - Mediumby Ubaldo Hervas24d ago
One month ago your company decided to launch a brand new checkout process. The alternative hypothesis was very simple: a three-step checkout would drive more purchases and revenue than the previous...
Towards Data Science - Mediumby Spyros Georgopoulos24d ago
The Schoolroom Distortion Think back to your first high school statistics class. The teacher walks to the blackboard, draws a coin, and asks a seemingly simple question: “What is the probability of...
Towards Data Science - Mediumby Arijit Ghoshal24d ago
Over the last year, I’ve lost count of the number of conversations I’ve had about AI agents, RAG, semantic layers, and knowledge graphs.
Towards Data Science - Mediumby Aamir Hussain Chughtai, PhD25d ago
A simple model with a serious weakness A straight line can look surprisingly convincing—until a few bad measurements pull it somewhere it should never have gone.
Towards Data Science - Mediumby Sam Black25d ago
Full disclosure: I just wasted ~$4,000 in compute costs last month because of this very silent, very real bug that I've likely been victim to many times over my career and never even knew it.
Towards Data Science - Mediumby Mostafa Ibrahim25d ago
The Model Fits, the Requests Don't VRAM used to be a training-time worry. You sized your cluster for the weights, the optimizer states, and the gradients, and once the model was trained, the memory...
Towards Data Science - Mediumby Daniel Miller25d ago
A 12-inch pizza is not half again as much pizza as an 8-inch one. It is 2.25x as much. This is because the pizza's area follows the square of its radius.
Towards Data Science - Mediumby Ananya Bhattacharyya26d ago
The reparameterization trick is what makes Variational Autoencoders (VAEs) trainable with standard stochastic gradient descent.
Towards Data Science - Mediumby Eivind Kjosbakken26d ago
Creating consistent designs throughout your application seems like a very trivial task that you can achieve with coding agents.
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