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That's sn interesting find, because I began to explore this topic with agentic dimension as my next goal. I had no idea this approach even existed

Hello MG, Thank you for the wonderful video, can you please make a video using LLama or other local LLM's

thanks for this great content

Another banger, thanks brother can’t wait to apply this. Subbed and liked!

Thank you so much,! I was looking at Greg kamradts method but I needed something with more flexibility. This solved it for me. Thank you

Thank you very much!

Great tutorial. Thx

Great video! I have one question do we get .yml file from data scientist or do we need to create it our own as a MLOPs engineer ?

Can you show how to set this up

az extension add -n azure-cli-ml az ml workspace create -g $(azureml.resourceGroup) -w $(azureml.workspaceName) -I $(azureml.location) --exist-ok --yes

Can you adjust the podcast length ?

How about connect to postgres database?

@MG great explanation, the best part which I liked is the message that you provided at the end. Very very useful 🙌. Going to see if you are providing such messages in every your video.

excellent short and great

Great video! Really interesting content

Isn't this basically solved using MultiQueryRetriever in LangChain?

How to make this work for large scale DB's?

Is this still legit?

Great tutorial! Do you think this would work in predicting sensor output, or state estimation ?

This is great, really helpful but in my organization Azureml setup if I try to run this code - I can't access this url - could you suggest

How can I modify the environment if I am using UI - I get error due to some library not found

the code is not present in discord

Explained beautifully.

I think the code is not on the Discord. Can't find it! Only can find the link to TruLens repo.

Excellent video and demo

i dont see Multi-Agent

@MG I have deployed my Azure Open AI on web app for 200 users where I have Customized the domain. Will this same process help me to log user prompt?? Do I need to use Custom domain as endpoint or I can use default endpoint from Azure Open AI service.

Great information and presentation. Thanks!

Can it be used for other models?

Not working. Seems like this tutorial is abandoned.

it shows insufficient data for pinecone

Can you suggest any opensource ai llm model application for practicing the loadtesting using jmeter.

how to add custom metadata to azure ai search

Excellent tutorial.Please make One video for Azure open AI and azure AI with practical explanation .Also need tutorial work on google cloud for Generative AI

@MG I can’t find a reference in Discord. Did you post it?

Amazing bro! 💙

46:00 I have run the bicep-ado-deploy-infra.yml file but the Prod RG didn’t get created for me. Why is that?

Useful Information. Thanks

I tried using hugging face embeddings with pinecone but it's giving me an error, I couldn't troubleshoot it.

What happen when you try to Anonimiz specific data like a patient ID. Can you specify what data do you want to aninimze?

Super useful Moe 🙌 Great content

How is this different from langsmith and which would you recommend for production?

Wow your chanel is underrated! One question, could you please shortly describe what key components you would suggest to use in combination with chatgpt-4o-mini to categorize a request, collect some data (based on what type of category it is)? Currently I’m using only instructions, but if you have detailed steps chatgpt should follow + different data he should collect, they are getting huge! I was thinking about vector database, like in your videos, but can’t think about how to handle the category steps correctly (without forgetting something, because it only got „chunks“) & how to categorize the request. Any thoughts are highly appreciated! I can only find „how to collect data“ and „how to use vector database for knowledge retrieval“ but not everything combined: categorizing the request, follow multi steps instructions based on that & collect data step by step. (By the way I’m using azure atm)

Another wonderful video. Thank you.

Really appreciate for great content. I have one question may you like to create a video on that. Is categorizing the user question in the first steps (using a prompt to recognize) is an efficient action? specially when you use your company data

please make video on how to mock databricks services like delta live tables and all, for unit testing purpose. in aws we have moto library do we have something in databricks?

What if the PII isn't of a known format? For example if we're dealing with a patient report we need to mask records accordingly i.e if BP is higher than 120mmHg it should say high BP instead of the actual metrics.

looks pydantic even easier than json_format , new features offereed by OpenAI need to write so many details in json schema which is pain.

hi @MG can you please let me know why are we using azure devops as a tool to communicate with Azure ML studio? can't we create this type of pipelines in ML studio?

I edited host file to connect with VPN. But jupyter kernel not connecting with notebook