How to build with AI today: Artificial Intelligence Overview
Let's break down the complex world of Artificial Intelligence (AI) into digestible concepts. This comprehensive talk covers:
• The evolution of AI: from rule-based systems to Machine Learning (ML) and Deep Learning (DL)
• Understanding Generative AI (GenAI) and Large Language Models (LLMs)
• The limitations of AI, including hallucinations and knowledge cutoffs
• Retrieval-Augmented Generation (RAG) as a solution to common AI problems
• Practical applications of AI in web development using tools like Langflow and Vercel AI SDK
• The future of AI beyond chatbots: generative UI and more
Whether you're a seasoned developer looking to transition into AI or a curious beginner wondering "What is Artificial Intelligence?", this video provides valuable insights into AI, Machine Learning, Deep Learning, and Data Science. Learn how Neural Networks function, explore the inner workings of Chatbots, and discover how to build your own AI applications.
Learn the current state of AI, addressing AI fatigue and offering a fresh take on how to implement AI features tastefully in your projects. If you're interested in pursuing an AI career or exploring AI jobs, this talk offers a great starting point to understand the field.
Chapters
00:00:00 Intro
00:00:30 AI Fatigue
00:02:09 What is AI Engineering?
00:06:06 What even is AI?
00:12:42 Limitations of AI
00:14:41 RAG: Retrieval Augmented Generation
00:16:45 Vector Embeddings
00:18:46 RAG Demo
00:24:40 Generative UI
00:29:08 Vercel AI SDK
00:33:37 Conclusion
Видео How to build with AI today: Artificial Intelligence Overview канала Tejas Kumar
AI, MachineLearning, DeepLearning, GenerativeAI, GenAI, LargeLanguageModels, LLMs, Deepfakes, ArtificialIntelligence, ML, DL, DataScience, NeuralNetworks, Chatbots, FutureOfAI, what is artificial intelligence, what is machine learning, what is deep learning, what is generative ai, how does chatgpt work, how to learn AI, AI course, AI tutorial, become AI engineer, AI career, AI jobs, machine learning career, how to get job in AI/ML, AI programming, data science, python, computer science
• The evolution of AI: from rule-based systems to Machine Learning (ML) and Deep Learning (DL)
• Understanding Generative AI (GenAI) and Large Language Models (LLMs)
• The limitations of AI, including hallucinations and knowledge cutoffs
• Retrieval-Augmented Generation (RAG) as a solution to common AI problems
• Practical applications of AI in web development using tools like Langflow and Vercel AI SDK
• The future of AI beyond chatbots: generative UI and more
Whether you're a seasoned developer looking to transition into AI or a curious beginner wondering "What is Artificial Intelligence?", this video provides valuable insights into AI, Machine Learning, Deep Learning, and Data Science. Learn how Neural Networks function, explore the inner workings of Chatbots, and discover how to build your own AI applications.
Learn the current state of AI, addressing AI fatigue and offering a fresh take on how to implement AI features tastefully in your projects. If you're interested in pursuing an AI career or exploring AI jobs, this talk offers a great starting point to understand the field.
Chapters
00:00:00 Intro
00:00:30 AI Fatigue
00:02:09 What is AI Engineering?
00:06:06 What even is AI?
00:12:42 Limitations of AI
00:14:41 RAG: Retrieval Augmented Generation
00:16:45 Vector Embeddings
00:18:46 RAG Demo
00:24:40 Generative UI
00:29:08 Vercel AI SDK
00:33:37 Conclusion
Видео How to build with AI today: Artificial Intelligence Overview канала Tejas Kumar
AI, MachineLearning, DeepLearning, GenerativeAI, GenAI, LargeLanguageModels, LLMs, Deepfakes, ArtificialIntelligence, ML, DL, DataScience, NeuralNetworks, Chatbots, FutureOfAI, what is artificial intelligence, what is machine learning, what is deep learning, what is generative ai, how does chatgpt work, how to learn AI, AI course, AI tutorial, become AI engineer, AI career, AI jobs, machine learning career, how to get job in AI/ML, AI programming, data science, python, computer science
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14 октября 2024 г. 22:11:07
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