Hey Priyanka, thanks for making Vertex AI understandable in just 7 mins which I didn't get even after 1.5 hours of talks and demos by other Googlers in a conference even in 2024. Also, fan of GCPSketchnotes. Thanks again.
Very nice! Thanks for the information as it was really useful. Looking forward to learning more. Hopefully, upcoming videos will include examples of image segmentation, recognition, tables, etc.
Good morning Pryianka, I have been following you for a little while. Here are some questions on my side. Could you please present one or more of the following: 1- one simple example of an end to end flow in one single episode 2-Whether or not this technology can provide Low Code continuous learning capabilities 3-How it compares to the similar offering of Amazon and Microsoft and why i should focus on this 4-Your plans if any to make more NoCode A.I. appliances available.
I really appriciate the lengths that google went to making this video, They have even made an mirroed version of ther logo on the shirt in order for it to look normal when mirroring the video
I know I should be paying attention to what's being said but is she writing on a clear board *backwards*?! The amount of skill required to do that is boggling! 👏
I have trained (using AutomML) a model and I'm able to fetch predictions from the endpoint. However, when I try to use the model in the following code: python Copy code model = TextGenerationModel.from_pretrained("*********") I'm getting an error that says: "NotFound: 404 Publisher Model publishers/google/models/******** is not found." Could you please tell me how I can use my trained model in this code? Is there any additional context or information you can provide to help with this issue?
Hello, I have a question. If I am working with a team, is it one person who is supposed to have a vertexxAI account that will be charged? Or will each user, though sharing the same project, be charged in their account?
hi, 2 weeks since I asked the next question in the community, can sone one help me? Hi, is it possible to use AlphaGo or Reinforcement Learning process in Vertex Ai?
I love your enthusiasm. Just starting with AI/ML today. I would start with what neurons are and how "stove" and "touch" are mixed to result in "NO". I understand that Vertex AI is about training neural networks, right?
Good day Pryianka! Thx for nice and clear videos about Vertex AI! May I ask one question please? Suppose we have a deployed data pipeline in Google Vertex AI. Is it possible to make two different accounts to access this pipeline? One account for the developer of this pipeline with full access. The second one is for the analyst's client application, who can only connect to the pipeline via API, pass new data as input of the model (raw data table X) and then get result of the model (Y column). Best regards, Nikita
For my understanding of the difference with AI Platform Unified, I need to know what are the difference, especially because a cost raise is planned and what are the addition to justify this new cost rate? What I will earn with Vertex compared to the previous version?
this is an AI persona or she is the first human being to be able to freely write back-wards ! 😜great product btw. Looking to learn more to see if this is a good fit for my business.
I was wondering the same thing. I'm thinking that the video is inverted. She probably has a an inverted logo on her shirt and is actually right handed. It looks like she has a wedding band on her right hand, which could be another clue that the video is inverted.
@@davidmoreau7589 Nice observation! Yes, this is post production magic :) I am not writing backwards...so hard to admit because I want that to be my superpower :)
I would like to have the opportunity to develope and put to use my world of photography and business equity markets to the new world of learning. This may be the way?
I have made Geometrifying Trigonometry theory with whole dataset upto 6th power of all trigonometry ratios geometry You know that as per Geometrifying Trigonometry,every multiplication of numbers generate 4 different new geometry forms so for every 6th power of each of cos,sin,tan etc there are 4^6 configs which is a large possibility set For every single value of theta which i have populated from the zero to 360 with 1 degrees step iterations Now i want to cross verification of each line segment with others to search lots of theorems These new theorems are (i strongly predict) will become as deep and pervasive as Pythagoras theorem
I have some data in a bigquery table and I would like to further manipulate this table using some python code. Will the pipeline outlined in this video allow me to do this before training a model? My understanding is that this could be done in the container section. Any insight on this area would be greatly appreciated. Thanks :)
What I could understand is you can only put code which is used to Train your dataset into the container but if you want to bring the data then you can use the create data set tab itself in which there is an option to add custom data table
Hi Priyanka, thanks for sharing your knowledge. we are working on the healthcare domain for diabetes patients' treatment requirements. The use case is to containerization and predict the dataset. Are there any provisional steps for K8s and AutoML?
Agree with you, the products are certainly awesome and way better than anything that AWS has, but they are confusing everyone with so many products that seem to do the same thing and not properly explaining the difference.
नमस्ते मैडम अश्लील वीडियो से बच्चो को सुरक्षित रखा जा सके ऐसा आइडिया है मेरे पास किसी भी चैट एप्लीकेशन के लिए जो अभी पूरी दुनिया में नहीं प्लीज मैडम कांटेक्ट करे
Another fantastic presentation by Pryianka! Thanks for the hard work putting this together!
The best teacher and coach eva! Thanks for sharing!
Hey Priyanka, thanks for making Vertex AI understandable in just 7 mins which I didn't get even after 1.5 hours of talks and demos by other Googlers in a conference even in 2024. Also, fan of GCPSketchnotes. Thanks again.
Awesome Presentation & Great Talent. Yaarunga Neenga? 🙂
Congratulations for the fantastic release !
Thanks Hasan!
Very nice! Thanks for the information as it was really useful. Looking forward to learning more. Hopefully, upcoming videos will include examples of image segmentation, recognition, tables, etc.
Yes, they will!!
explained simply and clearly, thanks for the clear explanation
awesome explanation
Very well explained, thanks Priyanka!
Great Presentation, Did anyone noticed she was writing reverse on glass from her perspective? 🤔
Yeah.
She recorded normally. The video has been flipped horizontally. The logo on her shirt is previously prepared.
Yes, like Luciano said, it is post production magic. But I hate to admit it because it sounds so cool as my superpower to write backwards :)
That's how it should work. It is reverse for you not for her
yeah i am wondering, how ?
Thank you for this video!! I needed this!
Awesome!! Thanks the introduction. Very easy in this way you show us.
Thank you!
You are an awesome instructor!
Thank you so much Yodi!
Good morning Pryianka, I have been following you for a little while. Here are some questions on my side.
Could you please present one or more of the following:
1- one simple example of an end to end flow in one single episode
2-Whether or not this technology can provide Low Code continuous learning capabilities
3-How it compares to the similar offering of Amazon and Microsoft and why i should focus on this
4-Your plans if any to make more NoCode A.I. appliances available.
All great points - 1,2 and 3 are coming in the next episodes. Follow the series. I have made a note of 3
I really appriciate the lengths that google went to making this video, They have even made an mirroed version of ther logo on the shirt in order for it to look normal when mirroring the video
Priyanka is just AMAZING!!!
Thank 😊 for valuable information, priyanka..👌
Perfect approach, congratulations Priyanka!
Very nice presentation
Cool idea with writing on the glass. Looks like you're able to write in mirror reflection ;)
It will help to learn AI ......... I think so ......... Please continue.........
Great explanation!
Thanks!
I know I should be paying attention to what's being said but is she writing on a clear board *backwards*?! The amount of skill required to do that is boggling! 👏
Idk why no one else is talking about this lol she can just casually write backwards
She write the normal way and after you mirror verticaly the picture
Very Nice and informative
How can we find out, which model was used in the auto ml by vertex ai that was used for our data training ?
Great Presentation. Thanks a lot.
Just starting, thanks Google!
Please share link to the detailed step-by-step approach of using ML workflow using Vertex AI once it is available.Thanks for the introduction.
All docs & tutorials are cloud.google.com/vertex-ai/docs
I’m excited to hop in and text automl out!
I have trained (using AutomML) a model and I'm able to fetch predictions from the endpoint. However, when I try to use the model in the following code:
python
Copy code
model = TextGenerationModel.from_pretrained("*********")
I'm getting an error that says:
"NotFound: 404 Publisher Model publishers/google/models/******** is not found."
Could you please tell me how I can use my trained model in this code?
Is there any additional context or information you can provide to help with this issue?
Thanks for your information
What is the board are you using to demonstrate the demo
Nice overview
Hello, I have a question. If I am working with a team, is it one person who is supposed to have a vertexxAI account that will be charged? Or will each user, though sharing the same project, be charged in their account?
Thanks
Cool. This was really helpful.
is there a newer version of this playlist?
This was really helpful
This is really exciting!
Thanks a lot: very insigthful
Gratious
Very nice
I used Google AI products and love the easy UX
verry well explained.
please take a real-time example (predicting the results and create a pipeline from scratch)
where to collect the sample datasets
Which model does Vertex AI Auto ML use for image classification task (Ultrasound images) for training?
hi, 2 weeks since I asked the next question in the community, can sone one help me? Hi, is it possible to use AlphaGo or Reinforcement Learning process in Vertex Ai?
@priyanka - any pointers on how to build a custom model for OCR use case? Better if I can customize one of the Document AI solutions
I love your enthusiasm. Just starting with AI/ML today. I would start with what neurons are and how "stove" and "touch" are mixed to result in "NO". I understand that Vertex AI is about training neural networks, right?
Neurons and etc are not related to this video at all. VertexAI is managed platform for training and deployment.
Good day Pryianka!
Thx for nice and clear videos about Vertex AI!
May I ask one question please?
Suppose we have a deployed data pipeline in Google Vertex AI. Is it possible to make two different accounts to access this pipeline? One account for the developer of this pipeline with full access. The second one is for the analyst's client application, who can only connect to the pipeline via API, pass new data as input of the model (raw data table X) and then get result of the model (Y column).
Best regards, Nikita
were you writing mirror in this video?
Hi, is it possible to use AlphaGo or Reinforcement Learning process in Vertex Ai?
Hi, is it possible to create Deep Reinforcement Learning models inside vertex?
Thanks for explination PriyankaI
Totally cleared that up fior me. -_-
Can I use this tech to train our data from text document into decision making?
For my understanding of the difference with AI Platform Unified, I need to know what are the difference, especially because a cost raise is planned and what are the addition to justify this new cost rate? What I will earn with Vertex compared to the previous version?
Great question. Does this doc help? cloud.google.com/vertex-ai/docs/start/ai-platform-users
@@pvergadia Wonderful!! You rock Priyanka!!!
and she mirror-writes on the go!? ...amazing
this is an AI persona or she is the first human being to be able to freely write back-wards ! 😜great product btw. Looking to learn more to see if this is a good fit for my business.
Hi are there any Dialogflow CX certification training available?
Nice.
How the hack are you writing from behind the glass in mirror image so well, so easily? :)
You need to create a troubleshooting session
I get the therotical thing, but can you give us an example from beginning to the end...
So I think the "data prep" part is actually Trifacta under the google cloud hood.
I love how she is presenting and writing the words in reverse at the same time. Must require a lot of training data to get right.
How powerful is time series tabular AutoML here compared to offerings by other vendors?
I am confused! how's she writing inverted english so fluently 😅
Some Google tech
I was wondering the same thing. I'm thinking that the video is inverted. She probably has a an inverted logo on her shirt and is actually right handed. It looks like she has a wedding band on her right hand, which could be another clue that the video is inverted.
I confirmed on LinkedIn that she wears her wedding band on her left hand, while it is on her right in this video. Inverted video. Clever!
@@davidmoreau7589 Nice observation! Yes, this is post production magic :) I am not writing backwards...so hard to admit because I want that to be my superpower :)
Epic
how is this more beneficial than just doing everything within a jupyter notebook without vertex AI?
I would like to have the opportunity to develope and put to use my world of photography and business equity markets to the new world of learning. This may be the way?
Do product managers at big tech all need to learn how to write backwards? She seems to be really good at it.
I have made Geometrifying Trigonometry theory with whole dataset upto 6th power of all trigonometry ratios geometry
You know that as per Geometrifying Trigonometry,every multiplication of numbers generate 4 different new geometry forms so for every 6th power of each of cos,sin,tan etc there are 4^6 configs which is a large possibility set
For every single value of theta which i have populated from the zero to 360 with 1 degrees step iterations
Now i want to cross verification of each line segment with others to search lots of theorems
These new theorems are (i strongly predict) will become as deep and pervasive as Pythagoras theorem
can you still deploy models for edge devices?
Yes, you can. Here is the documentation and the video is coming later in this series. cloud.google.com/vertex-ai/docs/training/automl-edge-console
Is this similar to Azure ML / AWS ML..?
Great
I have some data in a bigquery table and I would like to further manipulate this table using some python code. Will the pipeline outlined in this video allow me to do this before training a model? My understanding is that this could be done in the container section. Any insight on this area would be greatly appreciated. Thanks :)
What I could understand is you can only put code which is used to Train your dataset into the container but if you want to bring the data then you can use the create data set tab itself in which there is an option to add custom data table
This is not the end-to-end ML lifecycle. Online model performance monitoring is missing.
Google: 1000000000000000 interviews of how to invert a binary tree
Hi Priyanka, thanks for sharing your knowledge. we are working on the healthcare domain for diabetes patients' treatment requirements. The use case is to containerization and predict the dataset. Are there any provisional steps for K8s and AutoML?
This is all great but can you at least clarify what's the difference between this and your now old(?) AI platform? This is so confusing!
I think they've unified a few products (incl AI Platform) under Vertex AI. cloud.google.com/ai-platform/ redirects to Vertex AI page.
Presentation IBM style format.
Does google make t shirts with a reverse cloud logo on them so it matches when they flip the video?
honestly I'm a bit lost with all gcp AI products. It's a mess
Agree with you, the products are certainly awesome and way better than anything that AWS has, but they are confusing everyone with so many products that seem to do the same thing and not properly explaining the difference.
Journey AI
She's actually a robot. Who can write backwards so well?
How is she writing backwards so well
Oh they flip it
👍
Google
Cloud
Machine
Developer
When you hit that Uno reverse card.
I would like to sigh up?
wow did you have to learn how to write backwards for these videos?
How does she write in the opposite direction?!?! plop!
She writes on a transparent glass in reverse but the final video is flipped horizontally to show us in proper way.
नमस्ते मैडम
अश्लील वीडियो से बच्चो को सुरक्षित रखा जा सके ऐसा आइडिया है मेरे पास
किसी भी चैट एप्लीकेशन के लिए जो अभी पूरी दुनिया में नहीं प्लीज मैडम कांटेक्ट करे
I dont need your AI IN GERMANY