How to Build with AI Today: Artificial Intelligence Overview
Offered By: Tejas Kumar via YouTube
Course Description
Overview
Explore the complex world of Artificial Intelligence in this comprehensive 34-minute talk. Break down AI concepts into digestible parts, covering the evolution from rule-based systems to Machine Learning and Deep Learning. Gain insights into Generative AI and Large Language Models, understand AI limitations, and learn about Retrieval-Augmented Generation as a solution. Discover practical AI applications in web development using tools like Langflow and Vercel AI SDK. Delve into the future of AI beyond chatbots, including generative UI. Suitable for both seasoned developers and beginners, this talk provides valuable knowledge on AI, Machine Learning, Deep Learning, and Data Science. Learn about Neural Networks, explore chatbot mechanics, and find out how to build AI applications. Address AI fatigue and get a fresh perspective on implementing AI features in projects. Use this talk as a starting point to understand the field for those interested in AI careers or jobs.
Syllabus
Intro
AI Fatigue
What is AI Engineering?
What even is AI?
Limitations of AI
RAG: Retrieval Augmented Generation
Vector Embeddings
RAG Demo
Generative UI
Vercel AI SDK
Conclusion
Taught by
Tejas Kumar
Related Courses
Neural Networks for Machine LearningUniversity of Toronto via Coursera Good Brain, Bad Brain: Basics
University of Birmingham via FutureLearn Statistical Learning with R
Stanford University via edX Machine Learning 1—Supervised Learning
Brown University via Udacity Fundamentals of Neuroscience, Part 2: Neurons and Networks
Harvard University via edX