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Welcome to the Multi-AI Era
- By Visual Studio Magazine Editors
- 05/21/2025
What a time to be a developer. AI is creating shifts in the technology landscape and developers are feeling the effects, increasingly being tasked with integrating sophisticated AI capabilities into their applications.
There are two "multi-" prefixed technologies that are further complicating matters for developers. One is the emergence of multimodal AI models, which can process and generate text, images, audio and video, opening new avenues for creating more interactive and intelligent applications. The other is multiagent AI.
By now, you know that talk of AI agents is inescapable; at Build this week, Microsoft said developers are in the "age of AI agents." An agent, of course, is an autonomous entity capable of performing tasks, making decisions and learning from interactions. A "multiagent" AI system comprises two or more agents working in concert to, for example, navigate and interpret vast datasets to provide users with personalized and context-aware experiences.
"Thanks to groundbreaking advancements in reasoning and memory," said Microsoft's chief comms exec Frank X. Shaw, "AI models are now more capable and efficient, and we're seeing how AI systems can help us all solve problems in new ways."
That's all well and good, but developers aiming to harness these technologies face several major challenges, including understanding the architecture of AI systems, integrating various AI models and ensuring the ethical deployment of AI-driven features. Moreover, the rapid pace of AI advancements necessitates continuous learning and adaptation.
To address these challenges, comprehensive training that delves into the intricacies of AI systems is essential. In an upcoming two-day training seminar titled Hands-On: Multi-Agent AI Systems & Autonomous Agents with GenAI (Azure AI Foundry, DeepSeek, ChatGPT), Live! 360 (a subsidiary of this publication's parent company, 1105 Media) will cover the essentials of a modern developer's AI knowledgebase -- topics like how to deploy AI models using platforms like Azure AI Foundry, how to access powerful language models via services such as Azure OpenAI, and the principles of prompt engineering to fine-tune AI responses.
Open source models will also be in the spotlight. Knowing how to integrate open source models from platforms like Hugging Face and DeepSeek can give developers a broader toolkit for building versatile AI applications. Hands-on experience with these tools enables developers to create applications that are not only functional but also innovative and responsive to user needs.
"AI agents are not only changing how developers build," Shaw said, "but how individuals, teams and companies get work done." Put bluntly, cultivating the knowledge and skills to build and manage AI agents is no longer optional for developers -- it's a necessity. Register today to stay at the forefront of developer innovation.
About the Author
Contact the Visual Studio Magazine Editors at [email protected] to submit news, tips, and insights.