This is how to use the attention mechanism in a time series classification framework

Exploring how Google's A2A enables plug-and-play communication between LLM-powered agents across frameworks

Introduction The vanilla ViT is problematic. If you take a look at the original ViT paper [1], you’ll notice that although this deep learning model proved to work extremely well, it requires hundreds…

Use LazyPredict and PyCaret to skip the grunt work and jump straight to performance.

We roll up our sleeves and start to deal with matrices

A recipe for building a portable soundscape monitoring app with AudioMoth, Raspberry Pi, and a decent dose of deep learning.

Exploring Titans: A new architecture equipping LLMs with human-inspired memory that learns and updates itself during test-time.

Complete guide to feature selection, threshold optimization, and neural network architecture for ML competitions The post I Won $10,000 in a Machine Learning Competition — Here’s My Complete Strategy…

Restoring speech with brain-computer interfaces: How close are we to real-time voice synthesis for those who can't speak?

Transforming Independent Models into Collaborative Intelligence

The Tokenizer Has Been a Necessary Evil, but This Radical Approach Shows That It Might Not Be Necessary Anymore. The post Why Your Next LLM Might Not Have A Tokenizer appeared first on Towards Data…

PyTorch Model Performance Analysis and Optimization — Part 9

How to save time and boost your models with these two approachable AutoML libraries.

How Meta’s latest breakthrough lets models learn, adapt, and improve — all on their own The post The Age of Self-Evolving AI Is Here appeared first on Towards Data Science. Generated by RSStT. The…

A practical approach to instance segmentation using SOLOv2 and TensorFlow