Product newsletter: Updates and new features for August 2025

Run LLM evaluations right in the W&B Weave UI

Debug RL fine-tuning runs with W&B Weave Traces

Tracking and optimizing agentic workflows using W&B Weave and NVIDIA NeMo Agent Toolkit

Classify the Natural World with Weights & Biases

fastText Nanobot for the Transformer Age

Hyperparameters of a Simple CNN Trained on Fashion MNIST

Compare Code Across Runs

Semantic Segmentation: The View from the Driver's Seat

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