Introduction to Generative AI

What is Generative AI and how does it work? What are common applications for Generative AI? Watch this video to learn all about Generative AI, including common applications, model types, and the fundamentals for how to use it.

[arunmanglick]

This is one of the finest relating dots and completing a full circle.. AI, ML, DL and Generative AI.

[chacko]

The fact that this kind of education is available for free on the internet is one of the many advantages of the times we live in 🌱☀

[peterokwori]

What an explicit explanation and differentiation of AI, ML, DL and GenAI. This is superb

[jaibalasubramaniyan]

unbeleivably brilliant. You have squeezed so many concepts in 22 minutes in a very lucid manner, something other courses do in 8 hours. Please create more coursework Dr. Gwendolyn Stripling

[reshmaramesh]

This is the kind of education we are looking for. Thank you so much for this super simplified explanation.

[HassanRaza-yghl]

Thank you for explaining this in a simple and easy way. Had to watch it in parts to process. The visuals really helped!

[anantsharma]

Whole design team has done fantastic work in this video.

[hargovindahirwar]

🎯 Key Takeaways for quick navigation:

00:00 📚 Introduction to Generative AI
- Definition of generative AI and its applications.
- Distinction between AI and machine learning, including supervised and unsupervised learning.
- Introduction to deep learning and its connection to generative AI.
05:36 🧠 Deep Learning and Generative AI
- Explanation of deep learning and its use of artificial neural networks.
- Differentiating generative models from discriminative models.
- Overview of how generative AI generates new content.
11:10 🔄 Generative AI Process and Models
- The training process of generative AI and how it creates a statistical model.
- Examples of generative language models and their capabilities.
- The importance of prompt design in controlling model output.
16:23 💼 Gen AI Applications and Foundation Models
- An overview of various applications of generative AI, including code generation.
- Introduction to foundation models and their role in AI development.
- Highlighting specific use cases for different task models.
20:05 🛠️ Tools for Generative AI Development
- Introduction to Generative AI Studio and its tools for model development.
- Information about Gen AI App Builder and its no-code app creation capabilities.
- Overview of PaLM API and its integration with development tools.

Made with HARPA AI

[byfqrjb]

This is a complete package with clear illustrations and explanations

[harriehausenman]

Is it just me, or is this video 100% AI generated? 😆

[fatemehcheginisalzmann]

I am impressed with such a clear, informative, and simple explanation !!!

[antoniofilho]

Thank you so much to the Google cloud team for this impressive explanation.

[koyeogundare]

Quite fascinating. Great delivery and easy-to-follow concept. You made a complex topic interesting with a clear, unambiguous explanation. Thank you.

[dheer]

The difference between traditional ML and Gen AI is very well explained thank you 🙏

[sreeramch]

Simple and Crisp in layman's terms. Thanks for making Data Science available to everyone.

[JesseTorres]

Great tutorial. One of the most complete introductory videos I have come across.

[JohnFarnan-rprn]

This a great summary of the different kinds of AI and what they are used for. Extremely helpful!

[jxqejdu]

Thanks for this video. I have been trying to find the connection of AI, ML, DL and generative AI everywhere on google. This video gave me the perfect and precise explanation.

[LightsOche]

One can literally learn everything online now... Wao this is good

[steriowang]

Clear and simple! Many thanks for sharing