Beginner Lessons

Stanford CS149 I Parallel Computing I 2023 I Lecture 11 - Cache Coherence

Stanford CS149 I Parallel Computing I 2023 I Lecture 10 - Efficiently Evaluating DNNs on GPUs

Stanford CS149 I Parallel Computing I 2023 I Lecture 8 - Data-Parallel Thinking

Stanford CS149 I Parallel Computing I 2023 I Lecture 4 - Parallel Programming Basics

Stanford CS149 I 2023 I Lecture 3 - Multi-core Arch Part II + ISPC Programming Abstractions

Stanford CS149 I Parallel Computing I 2023 I Lecture 1 - Why Parallelism? Why Efficiency?

Stanford ECON295/CS323 I 2024 I Business of AI, Reid Hoffman

Stanford CS229 I Machine Learning I Building Large Language Models (LLMs)

Stanford Webinar - Identifying AI Opportunities: Strategies for Market Success

Information Session: Health and Medicine Online Programs

Stanford CS149 I Parallel Computing I 2023 I Lecture 2 - A Modern Multi-Core Processor

Avoid the Trap of Over-Engineering in #AI Development

Why Full-Stack Engineers Are Key to #AI Project Success

Why A Traditional #AI Development Sequence Doesn't Work for Products

Boost Your #AI ROI: Focus on Consumer-Facing Solutions

Short Program Overview - Generative AI: Technology, Business & Society

Don't Fall for Launching "Cool" #AI Products (Focus on Retention Instead)

Don't Underestimate the Role of UI in Your #AI Projects

Myth: Non-Tech Companies Can't Win in the #GenAI Market

Myth: #AI Wrappers Can’t Make Money

Myth: #GenAI is Best for Content Creation

Myth: Your Users Prefer Chatbots

Myth: #GenAI Can Use the Same Business Model as SaaS

Myth: You Need to Host Your Own #GenAI Model for Security or Privacy