Building a tool to interactively visualize the forward pass of any Pytorch model from within notebooks. The post Torchvista: Building an Interactive Pytorch Visualization Package for Notebooks…

is a relatively new sub-field in AI, focused on understanding how neural networks function by reverse-engineering their internal mechanisms and representations, aiming to translate them into human-understandable algorithms and concepts. This is in contrast…

Solving the Heat Equation using DeepXDE. The post Physics-Informed Neural Networks for Inverse PDE Problems appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original author. Source

Learn how to LLMs are benchmarked, and try out the newly released ARC AGI 3 The post How to Benchmark LLMs – ARC AGI 3 appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original author. Source

POS tagging, dependency parser and named entity recognition. The post Mastering NLP with spaCy – Part 2 appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original author. Source

What happens when you stop concatenating and start decomposing: a new way to think about attention. The post Mechanistic View of Transformers: Patterns, Messages, Residual Stream… and LSTMs appeared first on Towards Data Science. Generated by RSStT. The copyright…

Practical Neuroevolution: Reproducing NEAT’s Innovations and Code Walkthrough The post From Genes to Neural Networks: Understanding and Building NEAT (Neuro-Evolution of Augmenting Topologies) from Scratch appeared first on Towards Data Science. Generated…