Introduction to Generative AI
ฝัง
- เผยแพร่เมื่อ 7 พ.ค. 2023
- Enroll in this course on Google Cloud Skills Boost → goo.gle/3MdGgHs
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.
Subscribe to Google Cloud Tech → goo.gle/GoogleCloudTech - วิทยาศาสตร์และเทคโนโลยี
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 🌱☀
It couldn't be further from the reality. You will realize soon...
@@chacko no just being realistic. here on YT you have filtered info. you will never know about the WEF the WHO and banks... it's happening fast and hard. Legislation are already modified to prepare us to be happy having nothing...
true
its more of an advertisement of googles cloud services🙂
True
This is one of the finest relating dots and completing a full circle.. AI, ML, DL and Generative AI.
This is the kind of education we are looking for. Thank you so much for this super simplified explanation.
Thank you for explaining this in a simple and easy way. Had to watch it in parts to process. The visuals really helped!
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
🎯 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
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
The difference between traditional ML and Gen AI is very well explained thank you 🙏
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
Simple and Crisp in layman's terms. Thanks for making Data Science available to everyone.
Hu up,y you 0:22 😢vv9exigcqO,drt
I am impressed with such a clear, informative, and simple explanation !!!
too advanced for me (I need the simple version with one click and perfecto version lol)
You're too easy for Impressing darlin
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! : )
: )
;)
Thank you so much to the Google cloud team for this impressive explanation.
Great summary!
Much appreciated!👍
This a great summary of the different kinds of AI and what they are used for. Extremely helpful!
Great tutorial. One of the most complete introductory videos I have come across.
One can literally learn everything online now... Wao this is good
Is it just me, or is this video 100% AI generated? 😆
😂
😂
Totally 😂
Seems like CEOs could go before cab drivers, after all 🤣
Lol, definitely was
i was curious about it but didn't knew where to learn, thanks a lot!
Clear and simple! Many thanks for sharing
I am so impressed! Keep up the great work! Such an informative video :)
Outstanding presentation of the topic. Highly recommended. Makes me with I was more hands-on in development,
Thank you for making AI technology available to everyone. This is the kind of education I am looking for.
Very clear and understandable
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.
We're happy to help, Jagadesan! If you want to learn more about how Google Cloud is evolving with genAI, check out this playlist from Next '24 → goo.gle/4bg7yqm
Great explanation. Reminds me of how my better professors taught
Great explanation in such a short video, good job.
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 intro video! Small note: there's a small typo starting at 17:05. Speech is misspelled
Thanks for such a crisp and clear information on Gen AI. really helpful.
simply the best explanation i can say ! Thank You
what a fantastic video, I learned so much about Generative AI
Thank you😄 for making this video
Crystal clear presentation
This is very good method teaching in a simple way to understand.
I am impressed with such kind of education knowledge.
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.
Thanks
Really appreciate for simplified us about AI
very good explanation in a simple way
This is a real good introduction to Gen AI! Thank you!
Thank you! If you're interested in learning more about integrating gen AI in Google Cloud check out this playlist → goo.gle/4bg7yqm
This is a very nice explanation. worth to watch and learn
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
Imagine schools and universities would provide such kind of education. Amazing stuff.
Great course., when can get the slides?
Informative. Thank you.
great video👍clear explanations for beginners
If supervised learning has labels then why draw a distinction between label\unlabeled training vs supervised vs unsupervised?
superb explanation
Worth the time and effort.
Very informative. Thank you for explaining it so well!
Thank you for explaining this in a simple and easy way. Keep it up.
This explain why I am asked for a caption when I post images in my blogs.
Looking forward to attend a free live webinar on this topic with hands-on experience.
u got 0 likes with 100k subs lol
@@Break75 LOL
@@c4yourselfyt i am gonna make that 1
Great Learning....its truly generating AI
Thank you so much for sharing! 💙
Very helpful content.... The content is easy to understand and interactive
Generative AI is the future - What a clean sleek AI ML DL explanation!
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?
Confidence intervals on variables used to measure.
You will not find something radically different.
Like a dog cannot be a gun.
Thanks 👍👍👍👍👍, I have learnt something New today
Great job, Excellent Design, Good explanation
Thanks for watching! 🤗
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
Thanks Google for articulating GAI concepts!
Nice balance between general interest content (~80%) about Generative AI and Google's specific tools (~20%) mainly at the end of the presentation. I've found some errors and typos but that's great accessible information popularizing new AI technology.
Are you well informed on Ai use cases? I would love to connect if so
@@shrewd69 hate to see it, man
@@shrewd69 we just launched a new JV, Go Outdoors, specializing in acquiring, developing, & operating marinas and RV parks. Would love to implement Ai in some fashion. Just read up on Midaxo’s breakdown of M&A use cases but haven’t identified anything with solid traction just yet..
Google Gemini is so good that there is no need for a child to do more than learn to talk.
That means that anyone can learn anything any place!
We are in the information age of Star Trek.
I can demonstrate what I claim on Google Gemini.
Thank you.
Thank you so much for this information
Excellent course for AI beginners
Great overview! Thank you.
Did a human generate this or an AI? 😀
Amazing video !!!❤🔥
Muuuuito obrigado pelas legendas em inglês e português Brasil.
concise and informative lecture.
Very informative
great introduction for 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
How can I get the transcript of this video?
@9:15 What is the difference between clusify and cluster something? For me both is the same!
Informative for this lay person and...disquieting!
Great Video! But, at 5:18, the text 'X1_3700' of Input layer makes me uncomfortable
X1_370
0
Great video thanks
many thank keep posting god bless you :-)
🎯 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
This summary is great, weldone
Thank you❤ 1:37
Easy to understand
Thank you
Wonderful contents
Very useful and good job❤️❤️
this is totally hallucinating. Incredible technology.
There is no joint distribution in generative model. There is only data distribution which is unlabeled mostly. We learn the probability distribution of unlabeled data only and then sample from the approximate distribution. May be the narrator switched the meaning for discriminative and generative model.
Very helpful 😊
Thank you 👍
Basically you will either be replaced by the AI, or be asked to do more. We are living in interesting times.
As a complete beginner and with no background in tech, can I take these courses?
This video takes a rather narrow view of what generative AI is, since there are many generative models that are not deep learning models. Also, regarding the "is vs. isn't" slide starting at 7:40, generative models can definitely have classes, numbers, classes, and probabilities (consider Bayesian Networks, for instance). The characterization seems to arise from a "CS-centric" view that does not consider Statistics, which I believe is where the term "generative" originated.
Very nice tutorial but it always explains with the wrong order. It says x and y, it shows in order x is first and y is second. But it always starts to explain with y and then x.
The voice in this video is entirely AI generated. This is the future boys!
Love it!
شكرا
generative AI is the future!
The meaning of life is to come out of 84 lakh Yoni, this is Sanatan Dharm. The most advanced ancient science from Bharat. Har Har Mahadev, Kamakhya Mata Ki Jai, Karauli Shanker Mahadev Darbar Ki Jai, Karauli Shanker Mahadev Ki Jai, Sanatan Dharm Ki Jai, Sabi Santo Ki Jai. बिना पित्र मुक्ति के आप स्वस्थ नहीं हो सकते ! I wonder if some day a Robot will stand in queue to take Diksha from Poorna Guru after understanding it's importance. Above is happening at Kanpur in Bharat (India).