Weights & Biases Courses

From 0 to Automated Evals - Hands-on Workshop

1 rating

Master LLM-as-a-Judge evaluation frameworks from scratch using Weave, tackling real-world challenges and practical considerations for generative AI applications.

• YouTube
• 2 hours 39 minutes
• Self-Paced
• Free Video

How EleutherAI Trains and Releases LLMs - Interview with Stella Biderman

Explore EleutherAI's approach to LLM development, covering model selection, training techniques, GPU choices, and interpretability challenges in this insightful interview with Stella Biderman.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

Introducing Weave and Production Monitoring

Explore Weave and Production Monitoring features for enhanced model training and productionization. Learn about Weave's ecosystem, composition capabilities, and the new Production Monitoring tool for improved AI/ML workflows.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Enabling LLM-Powered Applications with Harrison Chase of LangChain

Explore LangChain's mission to simplify LLM-powered app creation with CEO Harrison Chase. Discover its features, growth, community, use cases, and future predictions for AI development.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Enhance Low Light Images Using Keras, Python and Weights & Biases

Learn to enhance low-light images using Zero-DCE, an unsupervised technique implemented with Python, Keras, and Weights & Biases. Explore model training, experiment tracking, and result visualization in this hands-on tutorial.

• YouTube
• 36 minutes
• Self-Paced
• Free Video

Fine-Tuning OpenAI's GPT-3

Explore GPT-3's applications, fine-tuning benefits, and API development with OpenAI's VP and a W&B engineer. Learn about commercial uses and the new OpenAI-W&B collaboration for logging fine-tuning projects.

• YouTube
• 44 minutes
• Self-Paced
• Free Video

Math for Machine Learning - Exercises: Probability

Hands-on exercises exploring probability concepts in machine learning, including entropy, cross-entropy, and Gaussian distributions, with practical applications and insights.

• YouTube
• 44 minutes
• Self-Paced
• Free Video

Math4ML Exercises - Calculus

Hands-on calculus exercises for machine learning, covering little-o notation, gradients, linear approximations, and optimization techniques using Python and SymPy.

• YouTube
• 43 minutes
• Self-Paced
• Free Video

Math4ML Exercises - Linear Algebra, Continued

Hands-on linear algebra exercises for machine learning, covering matrix operations, shape-checking, composition, and practical applications in coding and ML contexts.

• YouTube
• 43 minutes
• Self-Paced
• Free Video

Math4ML Exercises - Getting Started & Linear Algebra

Introduction to Math4ML exercises, focusing on linear algebra fundamentals. Includes autograder demonstrations and hands-on problems to reinforce key concepts like array shapes, dimensions, and matrix operations.

• YouTube
• 39 minutes
• Self-Paced
• Free Video

Chai Time Kaggle Talks With Anjum Sayed - Datasaurus

Explore Anjum Sayed's 4th place solution in the CommonLit Kaggle competition, including problem analysis, data exploration, and codebase walkthrough, with insights on using Weights & Biases for competition workflows.

• YouTube
• 1 hour 38 minutes
• Self-Paced
• Free Video

Probability - Math for Machine Learning

Explore core probability concepts for machine learning, including surprises, loss functions, and Gaussians. Gain insights into the mathematical foundations of ML algorithms.

• YouTube
• 45 minutes
• Self-Paced
• Free Video

Linear Algebra - Math for Machine Learning

Explore core linear algebra concepts essential for machine learning, including arrays, linear functions, and SVD, with practical applications and programming analogies.

• YouTube
• 41 minutes
• Self-Paced
• Free Video

Supercharge Your Training With PyTorch Lightning and Weights & Biases

Learn to enhance ML pipelines using PyTorch Lightning and Weights & Biases. Discover efficient experiment tracking, advanced logging techniques, and how to leverage callbacks for improved model development and visualization.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

Revolutionizing AI Data Management with LlamaIndex - Gradient Dissent Podcast

Explore AI data management innovation with LlamaIndex CEO Jerry Liu, covering integration of diverse data formats, retrieval techniques, and the future of AI-driven systems in this insightful discussion.

• YouTube
• 58 minutes
• Self-Paced
• Free Video