For more information about Stanford’s Artificial Intelligence programs visit: https://stanford.io/ai
https://www.youtube.com/watch?v=Bl4Feh_Mjvo
To follow along with the course, visit:
https://cs229.stanford.edu/syllabus-s…
Tengyu Ma
Assistant Professor of Computer Science
https://ai.stanford.edu/~tengyuma/
Christopher Ré
Associate Professor of Computer Science
https://cs.stanford.edu/~chrismre/
Ready to launch your vector search game? 🚀 Ditch your traditional keywords and discover the power of vector search! This video will help you discover ways users can make search smarter, and generate creative text along the way. Get hands-on with vector search on Vertex AI!
Jump directly to the topics you want to learn:
00:00 – Vector Search and Embeddings
07:28 – Generate Embeddings
14:56 – Create Vector Search
22:30 – Vector Search in Action
28:34 – Vector Search with RAG
At Google, we take responsible AI seriously. Discover why responsible AI matters more than ever, and why we care so much about it. Explore Google’s 7 AI Principles, a framework designed to guide users toward a safer and more ethical use of AI.
Generative AI Agents represent the current frontier of LLM technology, enabling dynamic interactions and intelligent workflow automation. However, the complexities of architecting and deploying these agents can be daunting. In this live session, Patrick Marlow demystifies the process, guiding you through the critical decisions and trade-offs involved in building production-ready agents. Explore the full spectrum of Agent development, from the core components like Models, Tools, and Orchestration Frameworks to the strategic choices between managed and DIY approaches. The session wraps up with a live demo and Q&A.
Generative AI Agents represent the current frontier of LLM technology, enabling dynamic interactions and intelligent workflow automation. However, the complexities of architecting and deploying these agents can be daunting. In this live session, Patrick Marlow demystifies the process, guiding you through the critical decisions and trade-offs involved in building production-ready agents. Explore the full spectrum of Agent development, from the core components like Models, Tools, and Orchestration Frameworks to the strategic choices between managed and DIY approaches. The session wraps up with a live demo and Q&A.
Check out how large language models (LLMs) and generative AI intersect to push the boundaries of possibility. Unlock real-world use cases and learn how the power of a prompt can enhance LLM performance. You’ll also explore Google tools to help you learn to develop your own gen AI apps.
What is generative AI? Not sure where to begin? Check out this short course! We’ll take you through the basics of generative AI including common applications, model types, and the fundamentals of how you can use it. Discover the power behind this technology and see how it’s changing the way we solve problems, and tell stories. 🙌
This is CS50, Harvard University’s introduction to the intellectual enterprises of computer science and the art of programming.
TABLE OF CONTENTS
00:00:00 – Welcome
00:01:01 – Introduction
00:03:13 – Image Generation
00:08:23 – ChatGPT
00:11:06 – Prompt Engineering
00:12:40 – CS50.ai
00:19:03 – Generative AI
00:22:08 – Decision Trees
00:26:33 – Minimax
00:34:27 – Machine Learning
00:42:56 – Deep Learning
00:48:53 – Large Language Models
00:53:36 – Hallucinations
