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1
Intro
2
AI Fatigue
3
What is AI Engineering?
4
What even is AI?
5
Limitations of AI
6
RAG: Retrieval Augmented Generation
7
Vector Embeddings
8
RAG Demo
9
Generative UI
10
Vercel AI SDK
11
Conclusion
Description:
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.

How to Build with AI Today: Artificial Intelligence Overview

Tejas Kumar
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