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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
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English
The Al-Dente Neural Network: Part I
Sairam Sundaresan
May 18
Intermediate, Computer Vision, Object Detection, Experiment, Panels, Plots, CIFAR10
Two Shots to Green Screen: Collage With Deep Learning
Stacey Svetlichnaya
May 14
Advanced, Computer Vision, Video, GenAI, Experiment, Research, Panels, Plots
An Example of Transformer Reinforcement Learning
Leandro von Werra
May 13
Intermediate, NLP, Reinforcement Learning, HuggingFace, Experiment, Panels, Plots, Slider, Sweeps
Who Is Them? Text Disambiguation With Transformers
Stacey Svetlichnaya
May 12
Intermediate, NLP, HuggingFace, Experiment, BERT, Panels, Plots, Sweeps
Does Model Size Matter? A Comparison of BERT and DistilBERT
Jack Morris
May 12
Intermediate, NLP, HuggingFace, Experiment, BERT, DistilBERT, Github, Panels, Plots, Sweeps, Large Models
Activation Functions Compared With Experiments
Sweta Shaw
May 11
Beginner, Domain Agnostic, Guide, Github, Panels, Plots, Slider
A Step-by-Step Guide to Tracking HuggingFace Model Performance
Jack Morris
May 08
Beginner, NLP, HuggingFace, Tutorial, DistilBERT, Plots, Data
Adversarial Policies in Multi-Agent Settings
Stacey Svetlichnaya
May 07
Intermediate, Reinforcement Learning, Experiment, Research, Github, Panels, Plots
Boris Dayma, Colorizing Wizard
Carey Phelps
May 06
Image manipulation
New Feature: Run Spam Filter
Robert Mitson
May 04
W&B Features
Optimizing CIFAR-10 Hyperparameters with W&B and SageMaker
Robert Mitson
May 03
W&B Features
A Tale of Model Quantization in TF Lite
Sayak Paul
Apr 29
Intermediate, Computer Vision, Keras, TensorFlow Lite, Experiment, MobileNet v2, Panels, Plots
Interpretability in Deep Learning With Weights & Biases: CAM and Grad-CAM
Ayush Thakur
Apr 27
Intermediate, Computer Vision, Object Detection, Keras, Experiment, CAM, Panels, Plots, Slider
Transfer Learning With the EfficientNet Family of Models
Sayak Paul
Apr 26
Intermediate, Computer Vision, Classification, Transfer Learning, Keras, Experiment, EfficientNet, Plots, Cat v Dog
Exploring Bounding Boxes for Object Detection With Weights & Biases
Stacey Svetlichnaya
Apr 24
Beginner, Computer Vision, Object Detection, W&B Meta, YOLO, Panels, Berkeley Deep Drive, Autonomous Vehicles
How Efficient Is EfficientNet?
Ajay Arasanipalai
Apr 22
Intermediate, Computer Vision, PyTorch, Research, EfficientNet, ResNet, Plots
Experimenting with EvoNorm Layers in TensorFlow 2
Sayak Paul
Apr 19
Intermediate, Computer Vision, Classification, Keras, Research, EfficientNet, MobileNet v2, ResNet, Github, Plots, Sweeps, CIFAR10
Visualize, Track, and Compare fastai Models With Weights & Biases
Boris Dayma
Apr 17
Beginner, Computer Vision, Semantic Segmentation, fastai, Tutorial, W&B Meta, Artifacts, Panels, Plots, Slider
Image Masks for Semantic Segmentation Using Weights & Biases
Stacey Svetlichnaya
Apr 16
Intermediate, Computer Vision, Semantic Segmentation, W&B Meta, Slider, Berkeley Deep Drive
Deep Q Networks (DQN) With the Cartpole Environment
Jari
Apr 15
Intermediate, Reinforcement Learning, Experiment, Tutorial, DQN, Panels, Plots, Sweeps
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