Artificial Intelligence

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3meRgaI Topics: Overview of course, Optimization Percy Liang, Associate Professor & Dorsa Sadigh, Assistant Professor - Stanford University http://onlinehub.stanford.edu/ Associate Professor Percy Liang Associate Professor of Computer Science and Statistics (courtesy) https://profiles.stanford.edu/percy-liang Assistant Professor Dorsa Sadigh Assistant Professor in the Computer Science Department & Electrical Engineering Department https://profiles.stanford.edu/dorsa-sadigh To follow along with the course schedule and syllabus, visit: https://stanford-cs221.github.io/autumn2019/#schedule #artificialintelligencecourse 0:00 Introduction 3:30 Why AI? 15:10 AI as Agents 18:20 AI Tools 20:39 Biases 23:28 Summary 34:08 PacMan 43:11 Perquisites, Homework, Exams

Grab my AI Toolkit for free: https://academy.jeffsu.org/ai-toolkit?utm_source=youtube&utm_medium=video&utm_campaign=146 Grab my free Workspace Toolkit: https://academy.jeffsu.org/workspace-toolkit?utm_source=youtube&utm_medium=video&utm_campaign=146 ? In this video, we unravel the layers of AI, Machine Learning, Deep Learning, and their applications in tools like #ChatGPT and Google #Bard We first go through how AI is a broad field of study that encompasses #MachineLearning as a sub-field. We then break down Machine Learning into supervised and unsupervised models, using real-world examples to illustrate their functions and differences. We move deeper into Deep Learning: Learn about artificial neural networks and the power of semi-supervised learning in applications like fraud detection in banking. Then we delve into Generative AI, differentiating it from discriminative models and demonstrating its capabilities in creating new, innovative outputs. Finally we walk through Large Language Models (LLMs) and uncover the significance of LLMs in AI, their pre-training processes, and their customization for specific industry applications *TIMESTAMPS* 00:00 Google’s AI Course in 10 Minutes 00:38 What is Artificial Intelligence? 01:27 What is Machine Learning? 03:28 What is Deep Learning? 05:15 What is Generative AI? 07:05 What are Large Language Models? *RESOURCES I MENTION IN THE VIDEO* Google’s full course: https://www.cloudskillsboost.google/course_templates/536 Grab my free Workspace Toolkit: https://academy.jeffsu.org/workspace-toolkit?utm_source=youtube&utm_medium=video&utm_campaign=146 *MY FAVORITE GEAR* ? My YouTube Gear - https://www.jeffsu.org/yt-gear/ ? Everyday Carry - https://www.jeffsu.org/my-edc/ *MY TOP 3 FAVORITE SOFTWARE* ? CleanShot X - https://geni.us/cleanshotx ?? Skillshare - https://geni.us/skillshare-jeff ? Readwise - https://readwise.io/jeffsu/ *BE MY FRIEND:* ? Subscribe to my Productivity newsletter - https://www.jeffsu.org/productivity-ping/ ? Instagram - https://instagram.com/j.sushie ? LinkedIn - https://www.linkedin.com/in/jsu05/ *??‍? WHO AM I:* I'm Jeff, a tech professional trying to figure life out. What I do end up figuring out, I share! _PS: Some of the links in this description are affiliate links I get a kickback from and my opinions are my own and may not reflect that of my employer_ ?