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From Foundry to Fine-Tuning: Topics you Need to Know in Azure AI Services

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SAVITAMITTAL
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Feb 05, 2025

Azure AI Agent, Multi-Agent, AutoGen, Azure AI Foundry............many more

With so many new features from Azure and newer ways of development, especially in generative AI, you must be wondering what all the different things you need to know are and where to start in Azure AI. Whether you're a developer or IT professional, this guide will help you understand the key features, use cases, and documentation links for each service. 

Let's explore how Azure AI can transform your projects and drive innovation in your organization. 

Stay tuned for more details!

Term
 
Description
 
Use Case
 
Azure Resource
Azure AI Foundry
 
A comprehensive platform for building, deploying, and managing AI-driven applications.
 
Customizing, hosting, running, and managing AI applications.
 
Azure AI Foundry
AI Agent
 
Within Azure AI Foundry, an AI Agent acts as a "smart" microservice that can be used to answer questions (RAG), perform actions, or completely automate workflows.
 
can be used in a variety of applications to automate tasks, improve efficiency, and enhance user experiences. 
 
Link
AutoGen
 
An open-source framework designed for building and managing AI agents, supporting workflows with multiple agents.
 
Developing complex AI applications with multiple agents.
 
Autogen
Multi-Agent AI
 
Systems where multiple AI agents collaborate to solve complex tasks.
 
Managing energy in smart grids, coordinating drones.
 
Link
Model as a Platform
 
A business model leveraging digital infrastructure to facilitate interactions between user groups.
 
Social media channels, online marketplaces, crowdsourcing websites.
 
Link
Azure OpenAI Service
 
Provides access to OpenAI’s powerful language models integrated into the Azure platform.
 
Text generation, summarization, translation, conversational AI.
 
Azure OpenAI Service
Azure AI Services
 
A suite of APIs and services designed to add AI capabilities like image analysis, speech-to-text, and language understanding to applications.
 
Image analysis, speech-to-text, language understanding.
 
Link
Azure Machine Learning (Azure ML)
 
A cloud-based service for building, training, and deploying machine learning models.
 
Creating models to predict sales, detect fraud.
 
Azure Machine Learning
Azure AI Search
 
An AI-powered search service that enhances information to facilitate exploration.
 
Enterprise search, 
e-commerce search, knowledge mining.
 
Azure AI Search
Azure Bot Service
 
A platform for developing intelligent, enterprise-grade bots.
 
Creating chatbots for customer service, virtual assistants.
 
Azure Bot Service
Deep Learning
 
A subset of ML using neural networks with many layers to analyze complex data.
 
Image and speech recognition, natural language processing.
 
Link
Multimodal AI
 
AI that integrates and processes multiple types of data, such as text and images(including input & output).
 
Describing images, answering questions about pictures.
 
Azure OpenAI Service, Azure AI Services
Unimodal AI
 
AI that processes a single type of data, such as text or images (including input & output).
 
Writing text, recognizing objects in photos.
 
Azure OpenAI Service, Azure AI Services
Fine-Tuning Models
 
Adapting pre-trained models to specific tasks or datasets for improved performance.
 
Customizing models for specific industries like healthcare.
 
Azure Foundry
Model Catalog
 
A repository of pre-trained models available for use in AI projects.
 
Discovering, evaluating, fine-tuning, and deploying models.
 
Model Catalog
Capacity & Quotas
 
Limits and quotas for using Azure AI services, ensuring optimal resource allocation.
 
Managing resource usage and scaling AI applications.
 
Link
Tokens
 
Units of text processed by language models, affecting cost and performance.
 
Managing and optimizing text processing tasks.
 
Link
TPM (Tokens per Minute)
 
A measure of the rate at which tokens are processed, impacting throughput and performance.
 
Allocating and managing processing capacity for AI models.
 
Link
PTU(provisioned throughput)
 
provisioned throughput capability allows you to specify the amount of throughput you require in a deployment.
 
Ensuring predictable performance for AI applications.
 
Link
Updated Feb 06, 2025
Version 35.0
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