Standford U on AI

Generative AI Program: Technology, Business & Society

05.11.2024
This program, developed in collaboration with the Stanford Institute for Human-Centered Artificial Intelligence, brings together the most renowned faculty and instructors at Stanford to examine generative AI from technical, business, and societal perspectives, with a focus on improving the human condition. Enroll now: https://online.stanford.edu/program...
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Course Overview - Business Opportunities and Applications of Generative AI

30.10.2024
Learn more and enroll in the course: https://online.stanford.edu/courses... Generative AI has opened up previously unimaginable possibilities for businesses and organizations. In order to make the most of these opportunities and drive innovation, leaders must have a solid grasp of this rapidly evolving technological landscape. This course will equip you with the strategies and techniques to effectively leverage this powerful technology and navigate potential pitfalls. We have gathered some of the most distinguished experts in the field to create a conference-style learning experience focused on the opportunities and applications of generative AI. Developed in collaboration with the Stanford Institute for Human-Centered Artificial Intelligence (HAI), this course will enable you to strategically implement generative AI in your organization, ensuring the human perspective remains at the forefront. - Explore what generative AI can and cannot do for your organization. - Identify best practices for designing generative AI interfaces and agents. - Learn effective strategies for structuring AI-powered organizations and initiatives. - Examine what generative AI means for productivity and future of work. - Evaluate how generative AI disrupts trust and mitigates legal risks of generative AI. - Assess the broader implications of generative AI technologies on individuals, communities, and society. #generativeai
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Stanford CS221 I Encoding Human Values I 2023

12.03.2024
For more information about Stanford’s online Artificial Intelligence programs, visit: https://learn.stanford.edu/Social-A... To follow along with the course, visit the course website: https://stanford-cs221.github.io/au... Speaker: Diana Acosta-Navas https://ethicsinsociety.stanford.ed... Percy Liang Associate Professor of Computer Science and Statistics at Stanford University https://cs.stanford.edu/~pliang/ Dorsa Sadigh Assistant Professor of Computer Science and Electrical Engineering at Stanford University Learn more about the course and how to enroll: https://online.stanford.edu/courses... To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu
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Course Overview - Human-Centered Generative AI

30.10.2024
Learn more and enroll in the course: https://online.stanford.edu/courses... While generative AI has the potential to transform industries and organizations, that transformation may pose considerable risks to individuals, communities, and society at large. To navigate these risks, leaders must apply a human-centered approach to the development and deployment of generative AI systems. Developed in collaboration with the Stanford Institute for Human-Centered Artificial Intelligence (HAI), this course provides ethical strategies and techniques for developing and implementing generative AI in a way that serves the interests of all stakeholders. Rather than traditional single-instructor teaching, the course provides a conference-style learning experience, featuring insights from many of the most distinguished experts in the field. - Understand the fundamentals and nuances of human-centered AI and generative AI. - Explore human-centric approaches to natural language processing. - Evaluate the fairness, ethics, privacy, and robustness of your solutions and develop strategies to strengthen them. - Examine modern generative AI governance frameworks, policies, and professional norms and standards. - Assess regulatory and policy trends in generative AI. - Ponder what you really want from generative AI. #generativeai
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Stanford CS221 I The AI Alignment Problem: Reward Hacking & Negative Side Effects I 2023

12.03.2024
For more information about Stanford’s online Artificial Intelligence programs, visit: https://learn.stanford.edu/Social-A... To follow along with the course, visit the course website: https://stanford-cs221.github.io/au... Speaker: Veronica Rivera https://vrivera2017.github.io/ Percy Liang Associate Professor of Computer Science and Statistics at Stanford University https://cs.stanford.edu/~pliang/ Dorsa Sadigh Assistant Professor of Computer Science and Electrical Engineering at Stanford University Learn more about the course and how to enroll: https://online.stanford.edu/courses... To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu
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Stanford CS221 I Externalities and Dual-Use Technologies I 2023

12.03.2024
For more information about Stanford’s online Artificial Intelligence programs, visit: https://learn.stanford.edu/Social-A... To follow along with the course, visit the course website: https://stanford-cs221.github.io/au... Speaker: Veronica Rivera https://vrivera2017.github.io/ Percy Liang Associate Professor of Computer Science and Statistics at Stanford University https://cs.stanford.edu/~pliang/ Dorsa Sadigh Assistant Professor of Computer Science and Electrical Engineering at Stanford University Learn more about the course and how to enroll: https://online.stanford.edu/courses... To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu
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Stanford CS221 I Algorithms and Distribution I 2023

12.03.2024
For more information about Stanford’s online Artificial Intelligence programs, visit: https://learn.stanford.edu/Social-A... To follow along with the course, visit the course website: https://stanford-cs221.github.io/au... Speaker: Diana Acosta-Navas https://ethicsinsociety.stanford.ed... Percy Liang Associate Professor of Computer Science and Statistics at Stanford University https://cs.stanford.edu/~pliang/ Dorsa Sadigh Assistant Professor of Computer Science and Electrical Engineering at Stanford University Learn more about the course and how to enroll: https://online.stanford.edu/courses... To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu
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Course Overview - Technical Fundamentals of Generative AI

30.10.2024
Learn more and enroll in the course: https://online.stanford.edu/courses... Generative AI has the potential to disrupt and revolutionize virtually every field, from manufacturing to entertainment to finance. To leverage this technology effectively and ethically, leaders need a solid grasp of its fundamentals and nuances. In this course you will gain the knowledge to navigate this rapidly evolving technological landscape. Rather than have a single instructor discuss the topic, we invited some of the most distinguished experts in the field to create a conference-style learning experience focused on the intricacies and capabilities of generative AI. Developed in collaboration with the Stanford Institute for Human-Centered Artificial Intelligence (HAI), this course will equip you with a profound understanding of technical principles and ready to navigate the ever-evolving generative AI landscape, keeping the human aspect front and center. - Identify strategies for selecting, building, and training foundation models. - Maximize LLM performance while minimizing costs through benchmarking and performance optimization. - Refine prompt engineering using state-of-the-art tools, including instruction-following models, chain-of-thought reasoning, and logical frameworks. - Assess the broader implications of generative AI technologies on individuals, communities, and society. - Examine a wide range of generative AI use cases, including not just generating text, but also creating images and videos using multimodal systems. - Explore emerging trends and the future direction of generative AI. #generativeai
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Ask About AI: Professor Chris Manning on the Future of AI

16.11.2023
Professor Chris Manning answers your questions about what's next for AI. For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai Learn more about Professor Manning: https://nlp.stanford.edu/~manning/
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Learn about Stanford's Online's Professional & Graduate AI Programs

01.07.2024
Learn about Stanford's online artificial intelligence professional and graduate programs: https://stanford.io/3CDAIOV Stanford Online Graduate and Professional AI programs provide the foundational and advanced skills you need to accelerate your career in AI, including machine learning, reinforcement learning, neural networks, and natural language processing and understanding. Learn about the differences between the programs in this video. #artificialintelligence #machinelearning #deeplearning #reinforcementlearning #neuralnetworks #naturallanguageprocessing
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Ask About AI: Professor Chris Manning Answers Your AI Career Questions

13.11.2023
We recently had the amazing opportunity to ask Professor Chris Manning some of your burning AI questions. Listen in as he gives his thoughts on developing your AI career. For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai How do I increase my understanding of AI beyond off the shelf packages? Learn more about Professor Manning: https://nlp.stanford.edu/~manning/
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Ask About AI: Professor Chris Manning on Explainability in AI Models

05.12.2023
Professor Chris Manning answers your questions about what's next for AI. For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai Learn more about Professor Manning: https://nlp.stanford.edu/~manning/
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Ask About AI: Professor Chris Manning on Foundation Models

30.11.2023
We recently had the amazing opportunity to ask Professor Chris Manning some of your burning AI questions. In this video he discusses foundation models--what they are and how we can use them. For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai Learn more about Professor Manning: https://nlp.stanford.edu/~manning/ #ailearning
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Program Overview - Generative AI: Technology, Business & Society

31.07.2024
Recent advancements in generative AI are reshaping industries, pushing technological boundaries, and revolutionizing creative processes. In this fast-changing landscape it is imperative for leaders to grasp the implications of this transformation for their businesses, technologies, and society at large. Explore this dynamic field in this program developed by Stanford Online and Stanford’s Institute for Human-Centered Artificial Intelligence (HAI). This comprehensive program covers technical fundamentals, business implications, and societal considerations, all with a focus on putting people first. Explore the capabilities and limitations of Generative AI. - Learn cost-efficient approaches to building, training, and selecting foundation models. - Discover the best ways to structure AI initiatives to boost creativity and productivity. - Balance ethical considerations, fairness, privacy, and safety in AI projects. - Examine real-world examples from robotics and healthcare. - Develop business and technological solutions prioritizing human well-being. We have brought together some of the most highly esteemed experts in the field to design a conference-style learning experience exploring the intricacies and capabilities of generative AI. Each speaker brings a wealth of knowledge and experience, creating an enriching multidisciplinary educational opportunity. Learn more about the program: https://online.stanford.edu/program... #generativeai
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Information Session: Artificial Intelligence Online Programs I August 2024

10.09.2024
Get more information about Stanford's Online AI programs: https://stanford.io/ai The world is being reshaped by Artificial Intelligence. From revolutionizing industries to transforming how we work and live, AI is here to stay. Are you ready to be a leader in this exciting new era? Watch this online information session and discover a comprehensive suite of online AI courses taught by Stanford's leading faculty, the pioneers of AI research and innovation. In this session, you'll gain insights into what sets our courses apart: - In-Demand Skills: Our courses are continually updated, enabling you to learn fundamental concepts, and the latest tools, and techniques driving the AI revolution. -Flexible Learning: We offer courses to fit your schedule, learning style, and in a variety of topics within AI to enable you to achieve your unique learning goals. -Proven Expertise: You will be learning directly from Stanford faculty, at the forefront of AI research and development. You will have access to course facilitators, office hours, or TAs to ask questions throughout the course. Don't miss this opportunity to unlock your potential and become a key player in the age of AI! Hear Q&A with our AI program managers, and receive useful guidance on applying and enrolling to join our thriving AI learning community. Browse Stanford's online AI programs: https://online.stanford.edu/artific... #artificialintelligence #ai #aicourse #learnai
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Stanford Webinar - How ChatGPT and Generative AI Will Shape the Future of Work

19.05.2023
Learn how to navigate change and optimize your teams for the future of work: https://online.stanford.edu/courses... Chapters 0:50 Emerging capabilities and challenges 9:20 How to cut through the hype 16:20 Best practices for human-AI augmentation 21:05 AI in education 23:40 Conclusion Incorporating AI has become a dominant aspect of digital transformation strategies. And there’s no hotter AI technology right now than ChatGPT. If you’re a business manager or a technical team leader, it’s time to start thinking about generative AI and its potential for your company, beyond having it write your emails. In this webinar, join Arvind Karunakaran, Assistant Professor at Stanford University and a faculty affiliate of the Institute for Human-Centered Artificial Intelligence (HAI), to learn about the potential of Generative AI and how it might impact your work and your organization. You Will Learn: - What capabilities and challenges are emerging for Generative AI in a workplace - How to cut through the hype and see the potential of this new technology for the future of work - How you can anticipate the effects of Generative AI on your role and begin to reimagine or even reskill the work of your team or company #chatgpt
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Ask About AI: Professor Chris Manning Answers AI-Generated Questions

15.11.2023
What would an AI ask an AI expert? Find out as Professor Chris Manning answers questions generated by a well-known large language model. For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai Learn more about Professor Manning: https://nlp.stanford.edu/~manning/
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Stanford Professor Chris Manning: Ask About AI - Full Version

20.12.2023
We invited Professor Christopher Manning, director of the Stanford Artificial Intelligence Laboratory (SAIL) to our studio to answer your questions about AI. Hear from him on topics including foundation models, career paths, search, and more. For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai Learn more about Professor Manning: https://nlp.stanford.edu/~manning/
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Short Program Overview - Generative AI: Technology, Business & Society

03.08.2024
This program, developed in collaboration with the Stanford Institute for Human-Centered Artificial Intelligence, brings together the most renowned faculty and instructors at Stanford University to examine generative AI from technical, business, and societal perspectives, with a focus on improving the human condition. Learn more about the program: https://online.stanford.edu/program...
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Stanford Webinar - How AI is Changing Coding and Education, Andrew Ng & Mehran Sahami

16.10.2024
For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai This engaging fireside chat brings together two leading Stanford experts, Andrew Ng and Mehran Sahami, for an illuminating conversation on how AI is reshaping both coding and education. Their thought-provoking insights reveal the transformative impact of AI on the future of technology and learning. From the rich history of these disciplines to the latest breakthroughs fueled by generative AI, they offer sharp insights into what’s coming next in technology and learning, and how it will reshape the world around us. Topics include... - How generative AI is empowering faster development for experienced developers while simplifying coding for novices, making advanced software creation more accessible. - Why learning to code and use generative AI will become vital for professionals across various fields, not just software engineers - How educational institutions are integrating generative AI tools into computer science curricula to ensure students are proficient with these emerging technologies from the outset. -The importance of equipping students to recognize the broader societal implications of the technologies they develop by embedding considerations of fairness, privacy, and decision-making into technical courses View the Machine Learning Specialization: https://online.stanford.edu/courses... Browse all Stanford Online AI Programs: https://online.stanford.edu/artific...
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Artificial Intelligence Professional Program Overview

29.11.2023
The Artificial Intelligence Professional Program is designed for working professionals who want to explore AI topics at graduate-level depth, but with flexibility of schedule and scope. Courses in the program are adapted from lectures and materials delivered in on-campus Stanford graduate courses. For more information about Stanford's Artificial Intelligence Professional Program visit: https://online.stanford.edu/program...
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Stanford Webinar - Identifying AI Opportunities: Strategies for Market Success

26.08.2024
Crafting an AI product strategy? Don’t waste time chasing the latest hype. Aditya Challapally (Stanford Online instructor, machine learning expert, and product manager) debunks myths and shares what truly works with Generative AI, backed by insights from over 300 users and 50+ executives. In this practical, data-driven webinar, you will: - Uncover the truth behind common AI misconceptions - Learn how industry leaders are setting the standard for AI innovation - Explore the most promising AI opportunities on the horizon Want more? Check out Aditya's online course: https://online.stanford.edu/courses... #genai #aiopportunities
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Stanford CS236: Deep Generative Models I 2023 I Lecture 1 - Introduction

06.05.2024
For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai To follow along with the course, visit the course website: https://deepgenerativemodels.github... Stefano Ermon Associate Professor of Computer Science, Stanford University https://cs.stanford.edu/~ermon/ Learn more about the online course and how to enroll: https://online.stanford.edu/courses... To view all online courses and programs offered by Stanford, visit: https://online.stanford.edu/
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Stanford XCS224U: NLU I Intro & Evolution of Natural Language Understanding, Pt. 1 I Spring 2023

17.08.2023
For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai This lecture is from the Stanford Online professional course XCS224U: https://online.stanford.edu/courses... Every lecture from this professional course is taken from content within the Stanford University graduate course - CS224U. To follow along, visit the graduate course website: http://web.stanford.edu/class/cs224... Christopher Potts Professor and Chair, Department of Linguistics, and Professor, by courtesy, Department of Computer Science at Stanford University http://web.stanford.edu/~cgpotts/ View the entire playlist of lectures: https://www.youtube.com/playlist?li... To browse all available online courses and programs offered by Stanford Online, visit: http://online.stanford.edu
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Stanford CS229 Machine Learning I Introduction I 2022 I Lecture 1

01.08.2023
For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai To follow along with the course, visit: https://cs229.stanford.edu/syllabus... Tengyu Ma Assistant Professor of Computer Science https://ai.stanford.edu/~tengyuma/ Christopher Ré Associate Professor of Computer Science https://cs.stanford.edu/~chrismre/ To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu
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Stanford CS229 I Machine Learning I Building Large Language Models (LLMs)

27.08.2024
For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai This lecture provides a concise overview of building a ChatGPT-like model, covering both pretraining (language modeling) and post-training (SFT/RLHF). For each component, it explores common practices in data collection, algorithms, and evaluation methods. This guest lecture was delivered by Yann Dubois in Stanford’s CS229: Machine Learning course, in Summer 2024. Yann Dubois PhD Student at Stanford https://yanndubs.github.io/ About the speaker: Yann Dubois is a fourth-year CS PhD student advised by Percy Liang and Tatsu Hashimoto. His research focuses on improving the effectiveness of AI when resources are scarce. Most recently, he has been part of the Alpaca team, working on training and evaluating language models more efficiently using other LLMs. To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu
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Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 1 – Introduction and Word Vectors

11.03.2019
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3CORGu1 This lecture covers many topics within Natural Language Understanding, including: -The Course (10 min) -Human language and word meaning (15 min) -Wordzvec introductions (15 min) -WordZvec objective function gradients (25 min) -Optimization basics (5 min) -Looking at word vectors (10 min for less) Professor Christopher Manning Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science Director, Stanford Artificial Intelligence Laboratory (SAIL) To follow along with the course schedule and syllabus, visit: http://web.stanford.edu/class/cs224... 0:00 Introduction 00:41 Welcome 01:31 Overview for the lecture 01:56 Lecture Plan & Overview 02:02 Course logistics in brief 02:52 What do we hope to teach in this course? 05:39 Course work and grading policy 07:02 High-level plan for problem sets #ChristopherManning #naturallanguageprocessing #deeplearning
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Andrew Ng: Opportunities in AI - 2023

29.08.2023
This discussion took place on July 26, 2023, at Cemex Auditorium, Stanford University, and was hosted by the Stanford Graduate School of Business. This talk covers: Trends in AI Technologies and Tools Supervised Learning Generative AI The Adoption of AI Opportunities in AI Process for Building Startups AI Risks and Social Impact Explore the essentials of machine learning and develop practical skills to implement AI applications in this beginner-friendly program: https://www.coursera.org/specializa...
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