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

Reproducibility: Docker for Machine Learning

Six Ways to Debug a Machine Learning Model

Intro to Pytorch with W&B

Harness the Sky: Aerial Segmentation Benchmark with DroneDeploy

Introduction to Hyperparameter Sweeps – A Model Battle Royale To Find The Best Model In 3 Steps

arXiv Search: Generating Tags from Paper Titles

Pytorch Lightning with Weights & Biases

Exploring Deep Learning Hyperparameters with Random Forests

Introduction to Convolutional Neural Networks with Weights & Biases

Debugging Neural Networks with PyTorch and W&B Using Gradients and Visualizations

Visualize Scikit-Learn Models with Weights & Biases

Exploring ResNets With W&B

What Is Bayesian Hyperparameter Optimization? With Tutorial.

Introduction to Hyperparameter Sweeps – A Model Battle Royale To Find The Best Model In 3 Steps

Running Hyperparameter Sweeps to Pick the Best Model

Exploring Gradients

Under the Hood of Long Short Term Memory (LSTM)

Meaning and Noise in Hyperparameter Search with Weights & Biases

Training neural networks

May Updates