Introduction to Generative AI 

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 🌱☀

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

🎯 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

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

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

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

Whole design team has done fantastic work in this video.

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

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

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

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

This is a complete package with clear illustrations and explanations

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

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

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

Clear and simple! Many thanks for sharing

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

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

i was curious about it but didn't knew where to learn, thanks a lot!

I am so impressed! Keep up the great work! Such an informative video :)

Great summary! Much appreciated!👍

Outstanding presentation of the topic. Highly recommended. Makes me with I was more hands-on in development,

Great explanation in such a short video, good job.

Crystal clear presentation

Informative. Thank you.

Great explanation. Reminds me of how my better professors taught

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

very good explanation in a simple way

great video👍clear explanations for beginners

what a fantastic video, I learned so much about Generative AI Thank you😄 for making this video

Thanks for such a crisp and clear information on Gen AI. really helpful.

Really appreciate for simplified us about AI

simply the best explanation i can say ! Thank You

This is very good method teaching in a simple way to understand.

Thank you for making AI technology available to everyone. This is the kind of education I am looking for.

Very clear and understandable

I am impressed with such kind of education knowledge.

Great intro video! Small note: there's a small typo starting at 17:05. Speech is misspelled

Great teaching , very concise and simplified. Thanks for making this video

The reason why transformers encode and decode is fundamentally about data representation: models need to encode text into numbers so they can process it, and then decode their output back into text so that it can be understood by humans.

superb explanation

This is a very nice explanation. worth to watch and learn

Thank you Google for tech education. I'm a junior software engineer and I'll keep learning and sharping my skills. I'll try my best to land a software enigeering job in the Google! : )

After watching so many video my problem was solved.Thank you so much that is very interesting tutorial.

Amazing video !!!❤‍🔥

Thank you so much for sharing! 💙

Worth the time and effort.

Great Learning....its truly generating AI

Very good introduction, thank you! Spotted a distracting typo in one of the slides where it says "Speach" instead of "Speech", don't let it seep into the LLM's 😉

Great course., when can get the slides?

Thank you for explaining this in a simple and easy way. Keep it up.

Very helpful content.... The content is easy to understand and interactive

Great video thanks

How do you measure the probability or accuracy of the new generated content being unique in the sense that it cannot be found in the training sets or previously generated content?

Thanks 👍👍👍👍👍, I have learnt something New today

Thank you for sharing the knowledge. Exactly the content I was looking for. Explained in a simple way for anyone to understand who wished to know the basics of AI, ML, DL, GenAI.

Thank you so much for this information

Very impressive presentation

Imagine schools and universities would provide such kind of education. Amazing stuff.

Very informative. Thank you for explaining it so well!

One best usecase is to run the google generated model to get trained with this video and see how much a fresh model can be created

Very useful and good job❤️❤️

Great job, Excellent Design, Good explanation

Excellent course for AI beginners

This is a real good introduction to Gen AI! Thank you!

Thanks Google for articulating GAI concepts!

Muuuuito obrigado pelas legendas em inglês e português Brasil.

Easy to understand

concise and informative lecture.

This explain why I am asked for a caption when I post images in my blogs.

great introduction for GenAI.

Very helpful 😊

Generative AI is the future - What a clean sleek AI ML DL explanation!

Informative for this lay person and...disquieting!

Thank you

Love it!

Very informative

Wonderful contents

Excellent Content Ma'am😃😃😃😃😃😃😃

very interesting and educative

The voice in this video is entirely AI generated. This is the future boys!

Looking forward to attend a free live webinar on this topic with hands-on experience.

If supervised learning has labels then why draw a distinction between label\unlabeled training vs supervised vs unsupervised?

Goodness, when I heard of Google, I'm certain that with Google many things will be very simple and easy to people, this development is very special and helpful to mankind therefore encourage for more of this good news

many thank keep posting god bless you :-)

Great Video! But, at 5:18, the text 'X1_3700' of Input layer makes me uncomfortable X1_370 0

Very educative

Very interesting course

Is it possible to create a movie (large video content) using GenAI?

Curious.. Any reason why the slides comein from the right rather than left. Even other aspects seem to go against the intuitive reading pattern

Great overview! Thank you. Did a human generate this or an AI? 😀

Thank you 👍

Basically you will either be replaced by the AI, or be asked to do more. We are living in interesting times.

@9:15 What is the difference between clusify and cluster something? For me both is the same!

As a complete beginner and with no background in tech, can I take these courses?

Thank you❤ 1:37

Thankyou

🎯 Key Takeaways for quick navigation: 00:28 🤖 *Generative AI can produce various types of content, including text, imagery, audio, and synthetic data.* 01:51 🛡️ *Machine learning allows computers to learn without explicit programming, and it includes supervised and unsupervised models.* 05:36 🤯 *Generative AI is a subset of deep learning that uses artificial neural networks and can process labeled and unlabeled data using various methods.* 07:30 📊 *Discriminative models classify or predict labels for data points, while generative models generate new data instances based on learned probability distributions.* 11:10 🧠 *Generative AI creates new content based on what it has learned from existing content, often using large language models.* 14:29 💡 *Prompts are used to control the output of large language models, and prompt design is crucial for generating desired results.* 15:54 🌐 *Generative AI can have various applications, including text-to-text, text-to-image, text-to-video, text-to-3D, and text-to-task models.* 17:17 🚀 *Foundation models are large AI models pre-trained on extensive data and can be adapted for various downstream tasks in industries like healthcare, finance, and customer service.* 19:11 💻 *Generative AI, like Bard, can assist in code generation, debugging, translation, and documentation.* 20:05 🧩 *Generative AI tools and platforms, such as Generative AI Studio, Generative AI App Builder, and PaLM API, simplify the development and deployment of gen AI models.* Made with HARPA AI

You can't find this kind of educational content in social media

I just loved it !