Towards Data Science

More RLHF and larger context windows will not fully solve hallucinations. @jamarinval shows why they are a structural feature of language models, not just an engineering gap. towardsdatascience.com/hallucinations…

If you think better data will eliminate hallucinations, you may be solving the wrong problem. @jamarinval explains why this behavior is rooted in the architecture itself. towardsdatascience.com/hallucinations…

Using modern tooling in Python, @taupirho explains how you can identify errors and issues in your code earlier on in the software-development lifecycle. towardsdatascience.com/building-a-pyt…

If you're thinking of switching to the Macbook Neo but not sure how it would fit within your data science workflows, don't miss @BenjaminNweke11's measured assessment, covering both its benefits and drawbacks. towardsdatascience.com/a-data-scienti…

For a clear introduction to modern marketing mix models, don't miss Shakti Kothari's debut TDS article, which leverages the power of open source tools and generative AI. towardsdatascience.com/democratizing-…

We're thrilled to welcome @DataSenseiObi to TDS! Click below to explore his comprehensive walkthrough on designing a streamlined, rapid document-extraction system. towardsdatascience.com/from-4-weeks-t…

New to context engineering and need a clear explainer on the fundamental concepts of this emerging field? Clara Chong is here to help with an accessible guide. towardsdatascience.com/deep-dive-into…

"Behavioral biometrics analysis is now becoming standard practice at banks, which are liable for covering losses from cybercrimes unless the security measures they put in place meet the challenges of these new attack surfaces." 🖋️ by Brandon Janes towardsdatascience.com/behavior-is-th…

Why do grand productivity promises never actually deliver when it comes to data science and ML tools? Eirik Berge digs into the frequent gap between sales pitches and on-the-ground results. towardsdatascience.com/the-arithmetic…

In this article, JUNIOR JUMBONG explains how to measure the different relationships among variables in a credit scoring model. towardsdatascience.com/building-robus…

Thank you @TDataScience for the feature! In Part 2 we are solving a linear regression problem using simple vectors and projections. You can read the full blog below!

I replaced £8,000 of manual work with ~$15 in API calls. 4,700 PDFs. 45 minutes. 96% accuracy. Published on @TDataScience 👇 towardsdatascience.com/from-4-weeks-t… Here’s the architecture (and why GPT-5 wasn’t the answer) 🧵

More output does not mean better outcomes if review cannot keep up. @EivindKjos shows how to turn agent-generated code into something reliable through smarter review practices. towardsdatascience.com/how-to-effecti…

The geometric foundations you need to understand the dot product By Amit Shreiber towardsdatascience.com/the-geometry-b…

Coding agents can generate more code than you can realistically review. @EivindKjos explains how to structure your review process to keep quality high without slowing everything down. towardsdatascience.com/how-to-effecti…

"In this article, I’ll walk through a real use case on a large, complex document to build Proxy-Pointer RAG—an ingestion and retrieval pipeline that achieves this through a set of novel engineering steps." By Partha Sarkar towardsdatascience.com/proxy-pointer-…

Bayesian thinking is less about formulas and more about updating beliefs with evidence. Kaushik Rajan breaks it down into something far more practical than what most classrooms deliver. towardsdatascience.com/bayesian-think…

Maybe statistics was never the problem. Kaushik Rajan reframes Bayesian thinking in a way that actually aligns with how people reason in the real world. towardsdatascience.com/bayesian-think…

"Considering coding agents can run for a longer period of time, you don’t want to spend time waiting on them to finish. Instead, you want to fire off an agent, and while that agent is working, you want to start another task." Read more from Eivind Kjosbakken's post: towardsdatascience.com/how-to-run-cla…

In this article, Eivind Kjosbakken shows how to apply coding agents in parallel to work more efficiently: towardsdatascience.com/how-to-run-cla…