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LevelUp_Plus
เข้าร่วมเมื่อ 13 เม.ย. 2023
Snappy skills by Micro Learning useful topics on tools and technology with AI. AI for Enterprise business applications is where we specialize! Check www.LevlUp.AI for services
We make videos about AI tools, comparisons, product reviews and opinions on AI tools as well as providing step-by-step guides, tutorials, and expert advice.
Whether you're looking to explore AI, common software, master a new gadget, software or enhance your experience using AI we've got you covered.
Our goal is to make content accessible to everyone, no matter your skill level.
Tools interest in the collection:
- VertexAI
- ChatGPT
- Enterprise AI
- Google Cloud Platform AI
- Data Analysis & Data Development
We are not affiliated, nor impersonate channels and the content created is the work of LevelUP_Plus. Where applicable works that reference the original artist, software, or content will be referenced.
#ai #chatGPT #vertexAI #ailearning #midjourney #ai #Data #aiforbusiness
We make videos about AI tools, comparisons, product reviews and opinions on AI tools as well as providing step-by-step guides, tutorials, and expert advice.
Whether you're looking to explore AI, common software, master a new gadget, software or enhance your experience using AI we've got you covered.
Our goal is to make content accessible to everyone, no matter your skill level.
Tools interest in the collection:
- VertexAI
- ChatGPT
- Enterprise AI
- Google Cloud Platform AI
- Data Analysis & Data Development
We are not affiliated, nor impersonate channels and the content created is the work of LevelUP_Plus. Where applicable works that reference the original artist, software, or content will be referenced.
#ai #chatGPT #vertexAI #ailearning #midjourney #ai #Data #aiforbusiness
Illuminate AI for Podcasting and simplified Learning | Illuminate AI How to use it
Google's NEW Illuminate AI is here to change the game on to learn complex topics and create podcasts on published documentation and research! This AI-powered platform helps you to combine research documentation, and create AI powered Podcasts like a pro.
Here's what you can do with Illuminate AI:
Read & Analyze: Upload PDFs, articles, or approved source documents.
Create a Podcast with Narration and adjust the style, tone and duration
Ask Questions: Get answers directly from your Podcast material!
AI-Powered Assistance: Google's powerful Gemini AI guides you every step of the way.
Free & Easy to Use!
Create a free account with your Google account.
Illuminate: illuminate.google.com/
Bonus Tip: Rename you podcasts, and add multiple sources for more engaging topics!
#IlluminateAI #GoogleAI #Research #Productivity #aipodcast #AIAssistant
Here's what you can do with Illuminate AI:
Read & Analyze: Upload PDFs, articles, or approved source documents.
Create a Podcast with Narration and adjust the style, tone and duration
Ask Questions: Get answers directly from your Podcast material!
AI-Powered Assistance: Google's powerful Gemini AI guides you every step of the way.
Free & Easy to Use!
Create a free account with your Google account.
Illuminate: illuminate.google.com/
Bonus Tip: Rename you podcasts, and add multiple sources for more engaging topics!
#IlluminateAI #GoogleAI #Research #Productivity #aipodcast #AIAssistant
มุมมอง: 159
วีดีโอ
Google AI Gems - alternative chatGPT | Google Gems with Realtime data
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Mastering the chatGPT and AI tools from open AI and Microsoft is essential to get the most out of them. OpenAI offers a number of platforms to develop your AI applications, from the chatGPT we know to the customisable platform to the Enterprise AI studio. I this video, we will show you the different between each, and what they can be used for. We will go through in high level chatGPT, openAI Pl...
AI Knowledge bot - Search and chat with your data | No Code Secure AI App | chatGPT Alternative!
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Building a AI Application for Searching your Knowledge Base and documents has never been easier, this no-code enterprise grade solution works easily on your PDF, PowerPoint, CSV and text data. We walk through: 1) Planning what knowledge base you want 2) Adding the Data to the Cloud Storage 3) Setting up the Google AI Search Application 4) Configuring the AI Agent Builder 5) Test Links: cloud.go...
Gemini AI Beginner to Pro | AI tools from Google explained | chatGPT alternative
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Google offers three great tools to use and build with AI. We explore at a high level Google Gemini, AI Studio and Vertex AI. Each of these tools serves a different purpose. This video provides and introduction on how to Use #GoogleGemini and #AIStudio and #vertexai and if you would like more detailed tutorials on how to use each of them, check the videos below. Gemini and using it: th-cam.com/v...
AI Automation using Vertex AI No Code | Make and Vertex AI automation setup
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AI Automation using Vertex AI in no code workflow tools to automate and create efficiencies using secure enterprise AI LLM's that you can monitor and control. If you need chatGPT alternative, Vertex AI and Gemini connects to your workflow tools and allows you to use AI in your automation. Links: www.make.com/en/register?pc=levlupai Install GCP and Vertex AI: th-cam.com/video/YMmHAXdtjMY/w-d-xo....
Setup Gemini Code Assist in Visual Studio - Alternative Co-Pilot with Gemini
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We Setup and use Google Code Assist powered by Gemini to build and develop applications and data solutions. This is the alternative to GitHub co-Pilot and performs well on the Google Ecosystem as well as Python development. For videos on how to get access to Vertex AI: th-cam.com/play/PLQSvFfgzCHbKGmZULp9ovGmVfRgj8pPQ3.html Links: cloud.google.com For a Full course on AI with Google Vertex and ...
Build a Retrieval Augmented Generation AI App using Azure AI | Easy RAG on your data no code
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Retrieval Augmented Generation tutorial using Azure AI Studio. Using RAG to boost your accuracy, reliability, and relevance of AI on your data with openAI. Search and interact with your documents and data without coding. This video shows how to add documents, and create an Application for RAG and link it to openAI, and search the documents and data. Note: the indexing and the resource groups ca...
How to use Microsoft Azure AI Studio and Deploy Azure OpenAI models | No Code - Full walkthrough
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In this video I cover Azure AI Studio and launch a full Azure AI chatbot app - No Code. Which is useful if you’re looking to build something that has business context with finer control as either a beginner or professional developer at a company. Azure AI Studio provides all the tools to get you building, and working with Enterprise AI. Azure AI offers the ability to deliver AI for your busines...
AI Skills to learn for better prompts | A guide to Prompt Engineering for AI
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Prompt foundations and master concepts is aimed at all users and used as a training guide for enterprises big and small. You are going to explore what the top 2% know about prompting, and how to get the maximum out of AI. This prompt engineering for AI course is designed to to be used as training material in your organisation, and shared with colleagues, and business network. If you would like ...
How to Fine tune a Large Language Model (LLM) | Easy Fine Tuning tutorial with Google AI Studio
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Fine Tuning a LLM tutorial using Google AI studio has never been easier, we walk through two methods and demonstrate how to build a fine tuned LLM on your Inputs and your outputs. Fine tuning a model is useful to get more control and accuracy on the outputs generated, and give you control on the source of the information for your context. This leads to responsible AI and demonstrates good gover...
How to Build FlutterFlow AI chatBot | FlutterFlow and Gemini Application No Code
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This video is how to build a Google Gemini chatbot using FlutterFlow a no-code environment. The video covers off getting started with FlutterFlow, Designing and creating the interface for the ChatBot and connecting Google Gemini to the Application. We test and Publish the Gemini and FlutterFlow Application to the web for a fast easy deployment of Flutterflow Applications. Links: flutterflow.io ...
How to Deploy Gemma AI | Use Gemma AI models for your chatbot
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We look at deploying Google Gemma AI to an endpoint in a secure enterprise cloud environment, for your private use. We walk through the deployment and testing the Gemma model in Google Cloud and Vertex AI. Contents: 00:00 Introduction 01:01 Open up Model Garden 01:53 Deploy to Google Cloud 03:40 Test Gemma AI 05:00 Writing the JSON to test 07:03 Add extra JSON parameters 08:05 Next Steps #googl...
Responsible AI settings | Testing and setting your own thresholds for AI
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MidJourney for Business Guide: Beginner to Advanced | How to create AI images for Business
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thanks for sharing ! I have a question: Where do notebooks get saved ?
Google is complete shit in all its "tech"! Anyone who falls for this latest piece of crap is a complete moron...
Thank you from Ethiopia
Does it use Gemini Advanced if I have a subscription?
i think so buddy, but you might need to login with your google account
Hi Tyrone, can I use the Vertex AI integration in Make to access a fine-tuned Gemini model? i.e. When I create the prompt and click to choose Model, does it show my fine-tuned models as well as the standard ones (assuming I already connected using Google's API key)?
tysmmmmmmmmmmmmmmmmmmmmmmm! this works so well.
great video. Thank you so much
Is there a way to "white label" this app once it is created in Azure? I don't like the Microsoft branding.
I wish people would consistently call Visual Studio Code or VSCode instead of just Visual Studio. There's a different program called Visual Studio, the giant IDE with graphical form designers. I clicked on this video hoping to see one about Visual Studio, not Visual Studio Code.
I installed on my Mac but suddenly started to take a crazy amount of memory (MacBook Pro M3) , so I uninstalled it (: terrible experience
Is it that Chinese data is not well supported? I've noticed that when a notebook is filled with a large amount of source material, NotebookLM seems to favor the first data entry added. Even though the nth entry added later contains the information I need, the search tells me it can't be found... Is it just a fantasy to try to find what you want from 50 sources? It seems that when there's only one data source in a notebook, the question-answering performance is best. Adding one more source also seems okay, but after seven or eight sources, no matter how I ask, it only cites sources from the first one or two entries.
Hi Sir, how to embed dialogflow cx chatbot into g3 docs website. I tried adding the chatbot but i am not seeing the bot after deploying the code
How do you train it with images ?
hey after tuning my data it is successfully tuned but when I test my model and try generating prompt I am getting this error ERROR Cannot read properties of null (reading 'length')
क्या बात ❤❤👍
Thank you from egypt ❤
thanks for sharing!
Nice video! Would love some eye contact though at the start haha
why?
hi i have created invoice parser processor and tried with api request but i got the raw it doesn't giving response with lable and value which i trained
now try to actually use this in code
Thank you
Can we fine tune again a fine tuned model with different dataset?
I finetuned gemini 1.0 pro for text classification. While finetuning i also provided a validation dataset. It showed some metrics called "eval_fraction_of_correct_next_step_preds" to be around 0.93 at the end of training. I am assuming it as the accuracy. But when i run the same model for my validation set locally and caluculate accuracy it is coming around 0.77 Then what is the metric that is shown in the vertex ai studio while training?
it asks for a credit card :(
Well done General for speaking truth to power.
Thanks for watching.
Hi there, thanks a lot for this. Trying to test somethign with it, but I get the "Failed to create pipeline job. Error: Permission 'aiplatform.metadataStores.get' denied on resource" error. I think it has to do with the service accounts and permissions. For me it only shows the compute engine default service account. I've gone to create service accounts but over there the instructions I've seen ask me to download a key, and that's no longer allowed. Could you please nudge me in the right direction on how to get the service account setup properly so that I could select it here? Thanks!
Hi, if you haven't already you might need to go through the Google Cloud Setup steps to configure your environment, so click the Google Cloud Setup, and go through the wizard. The user access and service accounts are provisioned in there.
thank you for the video, is it free to use? thank you! :)
Hi, thanks for watching. It is linked to your GCP platform account, Gemini Code Assist is available to try at no cost until July 11, 2024. cloud.google.com/products/gemini/pricing
@@LevelUp_Plus Gemini Code Assist is available to try at no cost until November 8, 2024
Hey Thanks for the tutorial. Seems we have a common problem in the comment section: 403 Error unauthorized access. Using the resources below I wasn't able to still access it outside google AI studio. I want to integrate the model in my application. Could you guide us or maybe make a video of it ? . Thanks
Hi thanks for the comment, I have the GCP environment setup - so check the Google Cloud Setup and follow the wizard to enable the service accounts and the access permissions. I will have a look at what I specifically did.
How to customize and train Gemini Flash for custom domain translation I have CSV with terms and TMX as parallel source and target translation
Can Gemini be a Personalized chatbot?
Hi Thanks for Watching, yes it can - see some of the videos in my channel, to get some ideas. But you ultimately do prompt engineering, and build a RAG type of chatbot.
Hi Great Job! quickly want to know Do we get confidence score of the identified labels using this ?
Excellent video. How to access the agent builder search via API
You have fine tuned right, if you ask questions which are not in fine tuned data (excel data) will it answer ? Ex: explain about database? Now this finetuned model will answer correctly
Maybe You should check the 'Temperature"
I dedicated trying to understand their totally feature bloated platform for a full week and got sick to my stomach with how unorganized and shit their UX is. It’s terrible mindset over there.
Yes, I hope it gets a revamp. it is a bit clunky.
Authentication app please
Thank you sir
Thanks for watching.
great video! Thanks for this. Seems like its a lot simpler than having to understand how the tokenizer and architecture works and try to get your training dataset in that format. That being said, once tuned can the fine tuned model weights be downloaded to your local machine
dude the code u copied at 3:20 and pasted at 3:50 are two different codes , can u please give this code
Hi Thanks for letting me know - here is the JSON. below is a sample of one line items I used in my JSONL file. {"input_text": "question: What is Tyrone's view on the future of AI in insurance? context: AI is possibly the most exciting technology to ever have been created in my view, a solution that allows access to model and information at unprecedented rates","output_text": "The Gen AI future is looking awesome, so excited and can't wait to help more business adopt it"}
It took vertex AI to fine tune the data 2 hours 12 minutes on my side just for 10 examples while i was testing. Is there a way to speed this up? My original data has 14467 examples. It would take ages....
Hi, Thanks for watching and appreciate the comment. In Vertex AI, I have seen a way to allocate a more powerful server/TPUS's to the environment . Alternatively you may try the Google colab version which allows you to select the processing power you would like. I have only very briefly experimented with runtimes and different CPU configurations.
thank you for sharing.but Why am I getting an error in my app? google.api_core.exceptions.PermissionDenied: 403 You do not have permission to access tuned model tunedModels/finalemotions-xxxxin9vxxxu2lxxxvuf0. but I have API from AI Studio to access my tuning model to my app.
thanks for this video but Why am I getting an error in my app? google.api_core.exceptions.PermissionDenied: 403 You do not have permission to access tuned model tunedModels/finalemotions-xxxxin9vxxxu2lxxxvuf0. but I have API from AI Studio to access my tuning model to my app.
i have 500 examples and i did exactly the same way and Now it is more than 2hrs and it is still showing 'in progress' i can't even see how much completed or when it will complete, it's so confusing anyone please explain me
Hi Fine tuning models does take time, it is essentially taking a LLM and customising it. If you are looking for more visibility and control consider using the Vertex AI fine tuning methods. I experimented with a few hundred and it took 7-8 hours. It all depends on the TPU/CPU and servers allocated.
Hello.. Thank you for the video.. I have a question.. for inputs i have examples questions and 5 other input parameters and or course and output. How can i integrated there parameters into the trainin data set? Which format should i use? Thanks.
Hi thanks for watching, I would check the documentation as a first port of call. There may be some experimentation here. So keep the number of samples low to test it first.
I will definitely implement it! PS: You sound really experienced in this stuff, do you know of anyone that's interested in a educational/inspiring thumbnail? I am a graphic designer and planning on perfectly recreating the ideas of content creators... So I'm planning on asking the right questions, matching the brand, studying the viewers, matching the personality... and then using the right techniques (sometimes I'd like to jump out of the comfort-zone and learn new stuff) so that I can keep adjusting till they're satisfied with their ideal thumbnail.
hey cool idea, I am sure there are some people out there that would need help with the thumbnails. I am still quite new to TH-cam and "marketing" so you can use me as a test :)
can I connect multiple models like Gemini, Imagen at the same time with flutter, so we don't want build any backend ?
Hi Yes, this is possible, i have seen previews of the Imagen (still not GA for all locations in the world). And then using the actions you can link the inputs to the Gemini text or Imaging models. I will do some more experimentation when i get a chance.
thank you for the video,i created the model as demoed in video but it shows 403 for my api key i followed all the steps exactly though google.api_core.exceptions.PermissionDenied: 403 You do not have permission to access tuned model
Hi, there is some setting in the Vertex AI environment that you need to set, see other comments below on the links.
that is the same my problem...are you solved it plz?
@@FalahgsGate I also meet this problem
the missing elephant in the room.. we need the real cost of the query as the # of characters or tokens, input / output
I really love your videos. You make it look so easy. I've been trying to combine two of your tutorials to make RAG application using vertex AI builder, and then integrate it to flutter flow. It would be absolutely amazing if you made a video on this.
Hi thanks for watching and your comments. I will have a look at the RAG and FlutterFlow.
what is the use case for making one? and how is it different than making an agent?
Hi Thanks for watching, the use case for refining a LLM is to provide it with context for your data/environment. For instance if your marketing material is based on a certain style or PR questions and answers follow specific format, or if you want the model to behave like your organisation. Or if you are a specialised insurance/finance with use cases that you have as knowledge banks then using your business IP you can train the LLM further to be more accurate.
Hey, The Video was Great, I have a question. I have used RAG with a HuggingFaceLLM to make a Chatbot to query a few research papers. Now I want to fine tune this model and replace it in my code How should I generate Q/A prompts from the research papers to fine-tune the model such that the results are factual?
Hi that is a good question, I would take the research papers and look at what are question and answer type of content. *hint use the Gemini Pro with the 1.5 million tokens to pass in a PDF the paper and get it to suggest good question and answers for you. then fine tune from there.