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

Fine-Tuning Whisper for Low-Resource Dravidian Languages

Implementing RLHF: Learning to Summarize with trlX

Replit x Weights & Biases ML Hackathon

Mid-U Guidance: Fast Classifier Guidance for Latent Diffusion Models

Collaborative Research and Publication-Ready Graphics with W&B

Torcheval: The New Metrics Library for PyTorch

Point Cloud Classification Using PyTorch Geometric

Jeremy Howard — The Simple but Profound Insight Behind Diffusion

Weights & Biases: Your Automated Logging Companion for Reproducible Research

A Gentle Intro To Tensors With Examples

Training a Protein Language Model on Cloud TPU

Easy Data-Parallel Distributed Training in Keras

Visualizing TensorFlow 2 models with Weights & Biases

Exploring Neural Style Transfer with Weights & Biases

Iteratively Fine-Tuning Neural Networks with Weights & Biases

Using W&B Model Registry to Manage Models in Your Organization

Error Analysis with Hamel Husain: Using W&B Tables for Model Evaluation

Recommending Amazon Products using Graph Neural Networks in PyTorch Geometric

Understanding and Avoiding Data Leakage with Hamel Husain

Hyperparameter Tuning with W&B Sweeps