This is the last of a series of 3 videos where we demystify Transformer models and explain them with visuals and friendly examples.
00:00 Introduction
01:50 What is a transformer?
04:35 Generating one word at a time
08:59 Sentiment Analysis
13:05 Neural Networks
18:18 Tokenization
19:12 Embeddings
25:06 Positional encoding
27:54 Attention
32:29 Softmax
35:48 Architecture of a Transformer
39:00 Fine-tuning
42:20 Conclusion
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
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
This video on the Artificial Intelligence full course video cover all the topics you need to know to become a master in AI and ML. It covers all the basics of Machine Learning, the different types of Machine Learning, and the various applications of Machine Learning used in different industries. This video will also help us understand the basics of artificial intelligence. We will look at the future of AI and listen to some of the industry experts and learn what they have to say about AI. Finally, you will learn the Top 10 Artificial Intelligence Technologies In 2024.
What is Artificial Intelligence?
Artificial Intelligence is a method of making a computer, a computer-controlled robot, or software think intelligently like the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. The outcome of these studies develops intelligent software and systems.
➡️ About Post Graduate Program In AI And Machine Learning
This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You’ll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.
✅ Skills Covered
ChatGPT
Generative AI
Explainable AI
Generative Modeling
Statistics
Python
Supervised Learning
Unsupervised Learning
NLP
Neural Networks
Computer Vision
And Many More…