In the era of genetics, we take a long time in joint technologies. This means that processes and pipes that will unite problems arise and allow things to move in the end of the completion of the completion of several AI agents who participate in a given project.
When you start why the AI agent is a big problem, you realize that it has to do with what they called “general learning” in the classic ML. This is the concept that, instead of a “brain” giant neuronal network, there are several smaller AIS, and all have a task to do to provide a global result. One of the simplest versions is a generative opponent system, where some AIS generates things, and others are analyzed.
But today, these systems are much more sophisticated, and technologies and teams must also be sophisticated.
Microsoft pionnia This type of paintings with Azure Ai Foundry, which is lately a component of the nomenclature of today’s global.
The concept of the Azure AI Foundry is that it combines 3 pipe keys for a collaboration of multiple agents.
It is a collaboration in Codear and a cloud service for accommodation.
In the case of Microsoft, which is through the connection between Microsoft Visual Studio (an IDE), Github as a collaboration center and Microsoft Azure for the cloud.
This configuration allows more than 70,000 consumers to proceed one hundred billion tokens and generate billions of requests for studies, according to Microsoft Statistics.
Microsoft shows how the characteristics such as the characteristics of the recovery of the agent, observability and trust still attend to make this platform what it is.
One of Microsoft Cap’s largest feathers here is its collaboration with Stanford in the orchestration of agents for tumor management.
This agent’s orchestration formula is helping doctors to evaluate medical images, look for clinical trials and build non -public for patients.
When you read the project, you are informed that a % of patients lately have those personalized plans, which are known to announce greater effects in oncology.
The reports on the use through Stanford of the formula of the Azure AI Foundry Agent show how it takes many hours of clinical paintings of the equation and automates the procedure of registration of electronic aptitude to save lives.
The developers can also refine the models and verify them, while they are addressed to the agents to their tasks. Hyperlite users can know more for the Catalog of Azure Foundry agents here.
With this process, the recommendation of the clinical tumor exam saves time identifying that of a patient and the location of usable results.
“Stanford Medicine sees 4,000 patients with the Board of Tumor Administrators consisting of the year, and our doctors are already using summaries generated through the base style during the meetings of the Tumor Council today,” said Dr. Mike Pfeffer, Information Director of the Stanford Medicine School, Dr. Mike Pfeffer. “The new agent of physical care orchestors has the strength to rationalize this existing workflow by cutting collection fragments . . . and makes it imaginable to the surface of the new consistent responses of the elements of knowledge that have been difficult to seek, such as test eligibility tests, processing and genuine evidence recommendation. Our patients with cancer”. ” “” “. “” “. “” “. “” “. “” “. “” “.
All this takes a position in an express context, this May, where Microsoft and Google wonderful ads this week. In addition to the new Google AI mode in the investigation, which I covered, Google also praised its progress of the Gemini 2. 5 model.
With respect to Microsoft, there is news about Depseek for Co -People and more of the occasion of Microsoft Build 2025 this month, and there are also more agents. But the formula of the Azure AI Foundry Agent is a panel on the road to a greater agent deployment, which is probably an important objective of 2025, 2026, etc.
Find more than we enter in summer and those huge continue to obtain the crowd with revolutionary innovations.