Product newsletter: Updates and new features for November 2025

Migrate from Neptune to Weights & Biases

Weights & Biases gets a new terminal UI

Supervised learning vs deep learning vs reinforcement learning

AI agents in retail and e-commerce

Powering agent collaboration: Weights & Biases partners with Google Cloud on Agent2Agent interoperability Protocol

What is Retrieval Augmented Thinking (RAT) and how does it work?

Running inference and evaluating Llama 4 in Python

How to build reliable AI agents

Introducing run metrics notifications for W&B Models

Product newsletter: Updates and new features for March 2025

LLM Observability with W&B and Ploomber

Evaluating the new Gemini 2.5 Pro Experimental model

Quantization-Aware Training (QAT): A step-by-step guide with PyTorch

Getting Started with MCP using OpenAI Agents

Getting started with the Gemini 2.5 Pro reasoning model API

Agentic RAG: Enhancing retrieval-augmented generation with AI agents

The Model Context Protocol (MCP): A guide for AI integration

Enhancing AI safety, quality, and efficiency: The latest in the Weights & Biases and NVIDIA collaboration

LLMs are machine learning classifiers

Going from demo to production with Google Cloud's Vertex AI Agent Builder

Evaluating Claude 3.7 Sonnet: Performance, reasoning, and cost optimization

W&B being acquired by CoreWeave