Комментарии:
were you writing mirror in this video?
ОтветитьHello, 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?
ОтветитьWhich model does Vertex AI Auto ML use for image classification task (Ultrasound images) for training?
ОтветитьI get the therotical thing, but can you give us an example from beginning to the end...
ОтветитьI 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! 👏
ОтветитьI 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?
how is this more beneficial than just doing everything within a jupyter notebook without vertex AI?
ОтветитьNice overview
ОтветитьDoes google make t shirts with a reverse cloud logo on them so it matches when they flip the video?
ОтветитьI 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.
ОтветитьHow does she write in the opposite direction?!?! plop!
ОтветитьLove this episode! What do you use to write on the screen/board?
Ответитьwow did you have to learn how to write backwards for these videos?
ОтветитьThanks a lot: very insigthful
ОтветитьVery nice
ОтветитьThe best teacher and coach eva! Thanks for sharing!
ОтветитьGratious
ОтветитьI would like to sigh up?
ОтветитьI 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?
ОтветитьI 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?
ОтветитьYou need to create a troubleshooting session
ОтветитьGoogle
Cloud
Machine
Developer
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?
ОтветитьHow the hack are you writing from behind the glass in mirror image so well, so easily? :)
Ответитьand she mirror-writes on the go!? ...amazing
ОтветитьPresentation IBM style format.
Ответитьhi, 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?
ОтветитьHi, is it possible to use AlphaGo or Reinforcement Learning process in Vertex Ai?
ОтветитьHi, is it possible to create Deep Reinforcement Learning models inside vertex?
ОтветитьAnother fantastic presentation by Pryianka! Thanks for the hard work putting this together!
ОтветитьPerfect approach, congratulations Priyanka!
ОтветитьThis is not the end-to-end ML lifecycle. Online model performance monitoring is missing.
ОтветитьGreat vid
ОтветитьGood 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
She's actually a robot. Who can write backwards so well?
ОтветитьVery Nice and informative
ОтветитьGreat explanation!
ОтветитьGreat Presentation. Thanks a lot.
Ответитьverry well explained.
please take a real-time example (predicting the results and create a pipeline from scratch)
where to collect the sample datasets
Very well explained, thanks Priyanka!
ОтветитьThis was really helpful
ОтветитьWhen you hit that Uno reverse card.
ОтветитьGreat
ОтветитьI 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 :)
Ответить@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
ОтветитьAwesome Presentation & Great Talent. Yaarunga Neenga? 🙂
ОтветитьI’m excited to hop in and text automl out!
ОтветитьIs this similar to Azure ML / AWS ML..?
ОтветитьWhat is the board are you using to demonstrate the demo
ОтветитьHi are there any Dialogflow CX certification training available?
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