Run LLM evaluations right in the W&B Weave UI

Tracking and optimizing agentic workflows using W&B Weave and NVIDIA NeMo Agent Toolkit

The Microsoft Agent Framework: Observability

Make evaluations count: Comparing AI application evaluation results using W&B Weave

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

Instrumenting Weights & Biases in Your Training Script with fastai

Reproducing Machine Learning Experiments with W&B

Using W&B Tables and Reports for Enhanced EDA in MLOps

Jerome Pesenti — Large Language Models, PyTorch, and Meta

Hugging Face Accelerate Super Charged With Weights & Biases

Paella: Fast Text-Conditional Image Generation

Intro to MLOps: Machine Learning Experiment Tracking

Recommender Systems Using Hugging Face & NVIDIA

Understanding Reinforcement Learning from Human Feedback (RLHF): Part 1

YOLOv5 Object Detection Tutorial: Bounding Box Webcams For Zoom

How Microsoft Leveraged Weights & Biases to Build the Models Behind Ink

Stable Diffusion and the Samplers Mystery

Introducing W&B MLOps Courses + Free Course Effective MLOps: Model Development