Azure Ai Services(used)
Ai search
Creation : service/resource is created under the Azure -> Azure Ai Services -> AI Search.
For searching through the DataBase, Vector database. An embedding model needs to be deployed in order to use this.
Open-ai-ada model was used.
This service also provides a Database to store data.
Configurations in the DB : search algorithm used, hybrid , semantic or vector
Azure Ai Services(same name as parent)
Creation : service/resource is created under the Azure -> Azure Ai Services -> Azure ai se services(child). Let's call this created resource “AAS”
Created along the way : text, audio, visual model service.
And an AI foundry is created for you under this same resource. Where you can launch this “AAS”. To access this you need Azure Ai Services -> Azure Ai Services -> Resource name(AAS) -> go to AI foundry portal()
But this foundry will only give you access to 62 models and all of them chat completion models.
If so, I Don't know how they’ll provide the speech, vision or any other service they mentioned in the bottom page of “AAS”.
But the funny thing is if we create a resource in AI foundry service separately(let's call it “AIDRY”)it will fall under this Azure AI service(child), and will be available alongside AAS.
And if you try to open “AIDRY” in AI foundry from Azure AI service(child) it will have a slightly different button then AAS to open the foundry. And will offer all the 1800 models of all kinds.
Azure open AI
Creation : service/resource is created under the Azure -> Azure Ai Services -> Azure OpenAi
Just creates a Open Service resource, then allows you to pick any model for any functionality
- Azure AI foundry
- Creation : service/resource is created under the Azure -> Azure AI Foundry. Let's call this created resource “AAF”.
- This will take you directly to the foundry, where you can again create an Azure AI service(child).
- But the difference is you will have access to all the 1800+ models when you open the foundry.
- And this will automatically have the resources like speech and vision which are created along the way just like an Azure Ai service would do.
Azure Ai Services(used)
Ai search
Creation : service/resource is created under the Azure -> Azure Ai Services -> AI Search.
For searching through the DataBase, Vector database. An embedding model needs to be deployed in order to use this.
Open-ai-ada model was used.
This service also provides a Database to store data.
Configurations in the DB : search algorithm used, hybrid , semantic or vector
Azure Ai Services(same name as parent)
Creation : service/resource is created under the Azure -> Azure Ai Services -> Azure ai se services(child). Let's call this created resource “AAS”
Created along the way : text, audio, visual model service.
And an AI foundry is created for you under this same resource. Where you can launch this “AAS”. To access this you need Azure Ai Services -> Azure Ai Services -> Resource name(AAS) -> go to AI foundry portal()
But this foundry will only give you access to 62 models and all of them chat completion models.
If so, I Don't know how they’ll provide the speech, vision or any other service they mentioned in the bottom page of “AAS”.
But the funny thing is if we create a resource in AI foundry service separately(let's call it “AIDRY”)it will fall under this Azure AI service(child), and will be available alongside AAS.
And if you try to open “AIDRY” in AI foundry from Azure AI service(child) it will have a slightly different button then AAS to open the foundry. And will offer all the 1800 models of all kinds.
Azure open AI
Creation : service/resource is created under the Azure -> Azure Ai Services -> Azure OpenAi
Just creates a Open Service resource, then allows you to pick any model for any functionality
Azure AI foundry
Creation : service/resource is created under the Azure -> Azure AI Foundry. Let's call this created resource “AAF”.
This will take you directly to the foundry, where you can again create an Azure AI service(child).
But the difference is you will have access to all the 1800+ models when you open the foundry.
And this will automatically have the resources like speech and vision which are created along the way just like an Azure Ai service would do.
Lastely
questions:
1 why is it only 62 models and only chat completions.
2 what models will an Azure Ai service use when i'll try to call those vision or speech services using api??
3 Hubs(in ai foundry) i didn't get the concept all together what power do they hold which cannot be controlled by the AI foundry project itself