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In this video, we’ll explore how Artificial Intelligence (AI) has grown from simple virtual assistants like Siri and Alexa to the advanced AI we see today, like ChatGPT and other Generative AI tools. We’ll start by looking at how AI began with basic tasks like answering questions and playing music. Then, we’ll see how it learned to recognize voices, understand speech, and even create new content. This video is a simple guide to understanding how AI has evolved over time and where it might go in the future.
Following are the topics covered :
00:00 - Introduction
02:13 - Rule Based AI
03:18 - Context Based AI
04:03 - Narrow Domain AI
04:58 - Reasoning AI
05:38 - Artificial General Intelligence
06:28 - Super Intelligent AI
07:08 - Self Aware AI
07:48 - Transcendent AI
08:13 - Cosmic AI
08:58 - Godlike AI
09:28 - Challenges
10:08 - Solving Big Problems
FAQs:
✅Q1.What is AI?
Ans: AI is technology that helps computers do things that usually need human intelligence, like understanding speech or recognizing pictures.
✅Q2.How did AI start?
Ans: AI started with simple tasks like answering questions and playing music, like Siri and Alexa do.
✅Q3.What is Generative AI?
Ans: Generative AI is a type of AI that can create new content, like writing stories or making pictures, based on what it has learned.
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➡️ 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.
✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
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- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
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✅ Skills Covered
- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
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