
Food Photography | Student Work — SSVAP
Capturing the art of food through light, colour, texture and composition. Our students explore the creative side of food photography… Continue reading on Medium »
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Capturing the art of food through light, colour, texture and composition. Our students explore the creative side of food photography… Continue reading on Medium »

A one-line formula for how often an LLM's top token flips, and why identical completions fall apart after about a hundred tokens The post Why Temperature 0 Isn't Deterministic appeared first on Towards Data Science.

Most voice agents ignore the user mid-sentence. Here’s how to fix that with a semantic VAD layer — CPU-only, open source, working code. Continue reading on Medium »

Imagine asking an AI to create this: Continue reading on Medium »

Cara termudah membunuh seorang seniman, adalah dengan mengambil jiwanya dari ruang kendali. Continue reading on Medium »

A diffusion head for probabilistic time series forecasting: why a forecast can get the mean and the variance right and still describe a future that never happens, and how to fix it. The post Your Model's MSE Is Lying to You III: Time Series Diffusion appeared first on Towards Data Science.

From childhood we are taught to say YES. Yes to elders, yes to friends, yes to teachers. We are told good kids always say YES. But no one… Continue reading on Medium »

Imagine being able to switch specific nerve cells on or off using light. Continue reading on Medium »


Learn how Pandas can simplify NLP text processing in Python. This beginner-friendly 2026 guide covers loading text datasets, cleaning text… Continue reading on Medium »

Retrieval-Augmented Generation (RAG) has emerged as an effective approach for improving the factuality and domain-specific knowledge of… Continue reading on Medium »


Here is a number from a profiling study that I did not expect. Continue reading on Data Science Collective »

A model can recall a fact in the direction it learned it and fail in the other. Here's a toy version of why The post The Reversal Curse: Why a Language Model That Knows “A Is B” Can’t Tell You “B Is A” appeared first on Towards Data Science.

A from-scratch PyTorch build that recovers blood flow, viscosity, and wall shear stress in a narrowed artery from 40 noisy velocity readings The post How to Use a PINN for a Navier-Stokes Inverse Problem appeared first on Towards Data Science.

Somebody went through the literature and counted. Forty-two cognitive architectures that explicitly say they are trying to build… Continue reading on Data Science Collective »

The activation function was never a fixed biological commitment but a working hypothesis revised under empirical pressure. The post What the ReLU Revolution Revealed About Biological Plausibility appeared first on Towards Data Science.

Polish culture is a West Slavic, Latin-Christian national culture formed by a millennium of statehood, partitions that erased the map but… Continue reading on Medium »

I spent this week discovering that the hardest part of reflection isn’t deciding what to notice. It’s finding the four or five words that… Continue reading on Medium »

For years, we have used AI as a tool. Continue reading on Medium »

Summary Paragraph Continue reading on Medium »

Subtitle: Discover Indian YouTube channels for Artificial Intelligence, Machine Learning, Data Science, Generative AI, LLMs, AI Agents… Continue reading on Medium »

A small, strange discovery in machine learning called grokking The post The AI That Learned to Understand Long After It Stopped Trying appeared first on Towards Data Science.

DAY 11- I Know What I Need to Do. So Why Don't I Keep Doing It?” Continue reading on Medium »

Kalau ngomongin musik psychedelic rock, salah satu nama yang hampir pasti muncul adalah Pink Floyd. Band asal Inggris ini punya karakter… Continue reading on Medium »

Autoregressive rollout and uncertainty propagation. Second in a series on probabilistic forecasting for physical signals. The post Your Model's MSE Is Lying to You: Part II appeared first on Towards Data Science.

This is the story of how Data Science team at Aplazo built an AI Program Manager that watches an 88-task roadmap, nudges the right people… Continue reading on Medium »

Over the past one year, I have been closely following the development of AI for weather forecasting. Almost every other morning, I open my… Continue reading on Medium »

Reproducing Anthropic's "Toy Models of Superposition" from scratch in NumPy, with hand-derived gradients and no borrowed numbers. The post I Trained a Tiny Network to Compress Data. It Drew a Pentagon. appeared first on Towards Data Science.

A Journey through TF-IDF, vector space, and text classification The post From Words to Vectors: What Happens in Between? appeared first on Towards Data Science.

pict pin Continue reading on Medium »
The code is the easy part. The royalties are not. Continue reading on Medium »

A technical introduction to supervised learning, loss functions, gradient descent, SGD, and the mathematics behind model training Continue reading on Medium »

Understanding and implementing CBAM (Convolutional Block Attention Module) from scratch with PyTorch The post CBAM Paper Walkthrough: The Double-Attention Mechanism appeared first on Towards Data Science.

Your RAG System May Not Have an LLM Problem Continue reading on Medium »

Alam dan manusia. Pohon dan buahnya. Jika manusia adalah buahnya, maka aku adalah buah yang sudah dipetik manusia dan terbawa jauh dari… Continue reading on Medium »

PyTorch and TensorFlow tensor broadcasting: how silent shape errors cause difficult-to-debug machine learning bugs The post Silent Broadcasting Can Ruin Your Model appeared first on Towards Data Science.

imagine generated using Ai Continue reading on Medium »

How moving randomness outside the computation graph turns noisy gradient estimators into low-variance, differentiable ones The post Reparameterization Tricks: Variance Reduction by Smarter Gradients appeared first on Towards Data Science.

The local AI race is no longer simply about finding the biggest model. I compared reasoning, coding, mathematics and general-knowledge… Continue reading on Write A Catalyst »

First in a series on probabilistic forecasting for physical signals. Next: what happens when you roll the forecast forward more than one step. The post Your Model’s MSE Is Lying to You appeared first on Towards Data Science.
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