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

An Introduction to Training LLMs Using Reinforcement Learning From Human Feedback (RLHF)

Point Cloud Segmentation Using Dynamic Graph CNNs

Next Frame Prediction Using Diffusion: The fastai Approach

Intro to MLOps: Hyperparameter Tuning

Digging Into the ShapeNetCore Dataset

Cristóbal Valenzuela — The Next Generation of Content Creation and AI

Cloud Computing Resources for Education

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