Skip to content Understanding the Generative AI User | Towards Data Science
in some interesting conversations recently about designing LLM-based tools for end users, and one of the important product design questions ...
Read more A Practical Toolkit for Time Series Anomaly Detection, Using Python
fascinating aspects of time series is the intrinsic complexity of such an apparently simple kind of data. At the end ...
Read more When (Not) to Use Vector DB
. They solve a real problem, and in many cases, they are the right choice for RAG systems. But here’s ...
Read more 6 Technical Skills That Make You a Senior Data Scientist
be honest. Writing code in 2025 is much easier than it was ten, or even five, years ago. We moved ...
Read more Bridging the Silence: How LEO Satellites and Edge AI Will Democratize Connectivity
space as the next place to discover, but hardly ever as the next place to connect with people. Even though ...
Read more Reading Research Papers in the Age of LLMs
an interesting conversation on X about how it is becoming difficult to keep up with new research papers because of ...
Read more A Product Data Scientist’s Take on LinkedIn Games After 500 Days of Play
I-day streak on LinkedIn Games. Yes, LinkedIn also has games, and they’ve been around for over a year. From time ...
Read more Do Labels Make AI Blind? Self-Supervision Solves the Age-Old Binding Problem
paper from Konrad Körding’s Lab [1], “Does Object Binding Naturally Emerge in Large Pretrained Vision Transformers?” gives insights into a ...
Read more Overcoming the Hidden Performance Traps of Variable-Shaped Tensors: Efficient Data Sampling in PyTorch
is the part of a series of posts on the topic of analyzing and optimizing PyTorch models. Throughout the series, we have ...
Read more How to Generate QR Codes in Python
to QR Codes “QR” in QR code stands for quick response. QR codes are an emerging and easy way to ...
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