Microsoft Azure’s goal at Microsoft is to advance Artificial Intelligence innovation in order to empower businesses, revolutionise sectors, and redefine productivity. MicroSoft Azure thrilled to present significant upgrades to Azure AI Foundry, they integrated platform for creating, modifying, and overseeing AI applications of the highest calibre. These enhancements include improved distillation and fine-tuning methods, the introduction of new enterprise tools for agents, and ground-breaking new models like OpenAI’s GPT 4.5. The goal of these developments is to hasten the transition from AI testing to real-world economic effect.
Introducing GPT 4.5 in preview on Azure OpenAI Service
GPT 4.5 is the most recent and robust general-purpose model, building on the achievements of earlier models. Scaling pre- and post-training has advanced unsupervised learning methods, as this study preview illustrates.
Natural interaction
A more organic contact experience is provided by GPT 4.5. Its greater “EQ” and wider knowledge base can enhance writing, coding, and problem-solving abilities.
Accuracy and hallucinations
Its accuracy (62.5% vs. 38.2%) and reduced hallucination rate (37.1% vs. 61.8%) allow developers to depend on more accurate and pertinent replies than GPT-4o.
Stronger human alignment
Improved alignment strategies make GPT 4.5 a more useful tool for project management and coding by enhancing its capacity to comprehend subtleties, follow directions, and have genuine conversations.
There are several ways that developers may use GPT 4.5 to increase their creativity and productivity. Users may rely on GPT 4.5 to create emails, messages, and documents that are clear and effective. It also offers personalised coaching and learning to help users master new skills or disciplines. GPT 4.5 might spark new thoughts and solutions during brainstorming sessions.
GPT 4.5 helps customers arrange their jobs for project planning and execution, guaranteeing comprehensive and effective methods. Additionally, it may automate complicated tasks, streamlining complicated procedures and processes. By receiving detailed instructions and automating repetitive activities, developers may optimise their coding operations, save time, and minimise mistakes. All things considered, the GPT 4.5 is a flexible model. GPT 4.5 is now available to enterprise clients in Azure AI Foundry.
New models: Phi-4, Stability AI, and recent releases
The goal of the most recent generation of AI models is to provide specialised skills more effectively. These releases mark a move towards AI that is specifically designed to perform well in particular fields while using less processing power. These are a few notable Azure AI Foundry releases.
Microsoft’s Phi models keep expanding the realm of what may be achieved with increasingly compact, effective architectures:
- Text, audio, and vision are all combined in Phi-4-multimodal to enable context-aware interactions. Complex manual explanations are no longer necessary since retail kiosks can now diagnose product faults using speech and video inputs.
- The Phi-4-mini It improves inference speed by 30% over earlier models and performs better on coding and math tasks than bigger models.
Consistency With models that speed up creative operations, AI is further advancing generative imaging:
- Compared to earlier iterations, Stable Diffusion 3.5 Large produces high-fidelity marketing materials more quickly while preserving brand coherence across a range of visual styles.
- Stable Image Ultra reduces photography expenses by achieving photorealism for product pictures through precise material rendering and colour accuracy.
- With remarkable speed and efficiency, Stable Image Core, an improved version of SDXL (text-to-image generative AI model) created by Stability AI, produces output of superior quality.
Cohere’s most recent ranking technology improves information retrieval capabilities:
- With its 4,096-token context window and support for more than 100 languages, Cohere ReRank v3.5 provides more accurate search results by presenting pertinent information even in the absence of precise keyword matches.
Two specialised versions are added to the GPT-4o family:
- Perfect for digital assistants and customer support, GPT-4o-Audio-Preview processes audio cues and produces spoken answers with the right amount of emphasis and emotion.
- With ground-breaking latency reduction, GPT-4o-Realtime-Preview removes conversation lag and produces interaction flows that are really human-like.
For it conversational AI offering, GPT-4o-Realtime has transformed voice interaction by giving developers access to multilingual, human-like voices, consistent streaming, and extremely low latency in telemedicine, education, and customer support.
Together, these developments show how AI is developing towards more responsive, natural, and effective interactions across a variety of use cases and deployment settings.
New customization tools
Microsoft is pushing the limits of experimentation and observability as it continue to expand Microsoft’s model library beyond 1,800 offers. The emergence of unsupervised learning methods is complemented by it new set of fine-tuning tools.
Distillation workflows
With the Stored Completions API (Application Programming Interface) and SDK (Software Development Kit), Azure OpenAI Service now provides a code-first method for model distillation. This lowers cost and delay while preserving high performance for certain tasks by enabling smaller models to inherit information from bigger models, such as GPT 4.5.
Reinforcement fine-tuning
This method, which is now under private preview, rewards sound reasoning and penalises flawed reasoning, teaching models to reason in novel ways.
Provisioned Deployment for fine-tuning
In addition to token-based payment, Azure OpenAI Service now provides Provisioned Deployments for optimised models, guaranteeing consistent performance and expenses through Provisioned Throughput Units (PTUs).
Fine-tuning for Mistral Models
Mistral Large 2411 and Ministral 3B, which are only available through Azure AI Foundry, now enable fine-tuning for activities unique to the healthcare sector, such as redaction of medical documents.
Secure automation and scale for enterprise agents
Security and scalability are important imperatives in current business environment. Microsoft is launching two robust features that will enable you to safely use AI for jobs that are essential to your mission:
Bring your Vnet
By removing exposure to the public internet, Azure AI Agent Service now makes it possible for all AI agent interactions, data processing, and API requests to stay safely inside your company’s own virtual network. With their sales proposal creation agent, early adopters like Fujitsu are using this power to increase sales by 67% while preserving data integrity and saving countless hours that might be used for strategic planning and client interaction.
Magma (Multi-Agent Goal Management Architecture)
Magma, which is accessible through Azure AI Foundry Labs, coordinates hundreds of AI agents in simultaneously, revolutionising difficult process orchestration. By connecting the physical and digital agentic worlds, this architecture makes it possible to address large-scale problems like supply chain optimisation with previously unheard-of speed and precision. You may explore with Magma in Azure AI Foundry.
