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Announcing Serverless RL: Train agents without worrying about infra or GPUs

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Product newsletter: Updates and new features for October 2025
Justin Tenuto
Nov 03
Articles, New W&B feature releases
Weights & Biases gets a new terminal UI
Dave Davies, Chander Matrubhutam
Nov 11
Articles, W&B Features, W&B Meta
SkyPilot + Weights & Biases: AI observability on any infra
Romil Bhardwaj
Nov 14
Articles, Tutorial
Introducing Serverless LoRA Inference
Nina Olding, Chander Matrubhutam
Nov 20
Articles, Inference, New W&B feature releases, Tutorial
Clear Search
English
fastText Nanobot for the Transformer Age
Stacey Svetlichnaya
Feb 07
Beginner, NLP, fasttext, Tutorial, Plots
Hyperparameters of a Simple CNN Trained on Fashion MNIST
Stacey Svetlichnaya
Feb 07
Intermediate, Computer Vision, Object Detection, Experiment, CNN, Slider, Sweeps
Compare Code Across Runs
Robert Mitson
Feb 06
Beginner
Semantic Segmentation: The View from the Driver's Seat
Stacey Svetlichnaya
Feb 06
Advanced, Computer Vision, 3D, Object Detection, Semantic Segmentation, fastai, Experiment, CNN, ResNet, U-Net, Github, Panels, Plots, Slider, Sweeps, Berkeley Deep Drive, Autonomous Vehicles, Exemplary
Reproducibility: Docker for Machine Learning
Robert Mitson
Feb 06
W&B Features
Six Ways to Debug a Machine Learning Model
Robert Mitson
Feb 05
Beginner
Intro to Pytorch with W&B
Lavanya Shukla
Feb 04
PyTorch
Harness the Sky: Aerial Segmentation Benchmark with DroneDeploy
Stacey Svetlichnaya
Feb 03
Computer Vision
Introduction to Hyperparameter Sweeps – A Model Battle Royale To Find The Best Model In 3 Steps
Lavanya Shukla
Feb 02
W&B Features
arXiv Search: Generating Tags from Paper Titles
Robert Mitson
Feb 01
NLP
Pytorch Lightning with Weights & Biases
Ayush Chaurasia
Feb 01
PyTorch
Exploring Deep Learning Hyperparameters with Random Forests
Lukas Biewald
Jan 31
W&B Features
Introduction to Convolutional Neural Networks with Weights & Biases
Lavanya Shukla
Jan 27
Beginner
Debugging Neural Networks with PyTorch and W&B Using Gradients and Visualizations
Ayush Thakur
Jan 26
PyTorch
Visualize Scikit-Learn Models with Weights & Biases
Lavanya Shukla
Jan 25
Beginner, Tabular, scikit-learn, Tutorial, W&B Meta, Plots
Exploring ResNets With W&B
Ayush Chaurasia
Jan 24
W&B Features
What Is Bayesian Hyperparameter Optimization? With Tutorial.
Robert Mitson
Jan 22
W&B Features
Introduction to Hyperparameter Sweeps – A Model Battle Royale To Find The Best Model In 3 Steps
Lavanya Shukla
Jan 15
W&B Features
Running Hyperparameter Sweeps to Pick the Best Model
Robert Mitson
Jan 13
W&B Features
Exploring Gradients
Robert Mitson
Jan 12
Intermediate
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