Product newsletter: Updates and new features for November 2025

Migrate from Neptune to Weights & Biases

Weights & Biases gets a new terminal UI

Weights & Biases Delivers New Integrations with NVIDIA Technologies to Deploy LLM Applications at Scale

Getting Started with Deep Q-Learning

The Problem with Quadratic Attention in Transformer Architectures

Artifacts Lineage Clustering in Weights & Biases

Going from 17% to 91% Accuracy through Prompt Engineering on a Real-World Use Case

Creating a predictive models to assess the risk of mortgage clients

Weights & Biases Achieves the AWS Generative AI Competency

A Deep Dive Into Learning Curves in Machine Learning

Improved Workspace Collaboration for Machine Learning Teams

Falcon OS Part 2: LLM Decision Making with ReAct

W&B product newsletter: Updates and new features for February 2024

An Introduction to the F1 Score in Machine Learning

I Experimented with ChatGPT to Improve My Annual Performance Review. Here's What I Learned.

Automating User and Role Management with W&B SCIM API

A Guide to DeepSpeed Zero With the HuggingFace Trainer

Evaluation-Driven Development: Improving WandBot, our LLM-Powered Documentation App

Copyright and fair use: GenAI hangs in the balance

Fine-Tuning LLaMa 2 for Text Summarization

VICReg: Variance-Invariance-Covariance Regularization for Self Supervised Learning

A Brief Introduction to the Tensorflow GNN Framework