Product newsletter: Updates and new features for August 2025

Build smarter RAG systems with Redis + W&B Inference

Run LLM evaluations right in the W&B Weave UI

Implementing and Tracking the Performance of a CNN in PyTorch

PyTorch Dropout for regularization - tutorial

Plotting Keras History Using Weights & Biases

AI For AG: Production ML for Agriculture Using Weights & Biases

W&B Updates June 12, 2020

Diving Into Model Pruning in Deep Learning

Monitor Your PyTorch Models With Five Extra Lines of Code

Part I: Best Practices for Picking a Machine Learning Model

Learning Dynamics of RNNs, and Memory Augmented RNNs

Visualize LightGBM Performance in One Line of Code

Hyperparameter Tuning for Keras and Pytorch models

DeepChem: Predicting Molecular Solubility With Weights & Biases

DeepForm: Track Political Advertising With Deep Learning

The Power of Random Features of a Convolutional Neural Network (CNN)

The Al-Dente Neural Network: Part I

Two Shots to Green Screen: Collage With Deep Learning

An Example of Transformer Reinforcement Learning

Who Is Them? Text Disambiguation With Transformers

Does Model Size Matter? A Comparison of BERT and DistilBERT