When building agents using Semantic Kernel that integrate with SLMs (Small Language Models) /LLMs (Large Language Models), you typically send and receive multiple responses. A common […]
When building agents using Semantic Kernel that integrate with SLMs (Small Language Models) /LLMs (Large Language Models), you typically send and receive multiple responses. A common […]
When we’re building a new application that leverages solutions such as Azure OpenAI Service we’re not just writing code, we’re also spending a lot of time […]
Where AI and Machine learning always felt like something out of reach because of its complexity. But, things have changed. In the past years I have […]
Use case Cloud Adventures, a company that delivers custom solutions and infrastructure platforms to software companies using Microsoft Azure, encountered a significant challenge with one of […]
[Azure Updates] AI has reset our expectations of what technology can achieve. From transforming how we explore the cosmos to enabling doctors to provide personalized care […]
[Azure Updates] In today’s fast-evolving digital landscape, enterprises need more than just powerful AI models—they need AI solutions that are adaptable, reliable, and scalable. With upcoming […]
Microsoft Ignite 2024 is next month, promising an unparalleled convergence of technology, innovation, and industry leadership. Amidst the array of keynotes, sessions, and networking opportunities, I […]
[Azure Updates] To furnish the cloud infrastructure necessary to deliver in the era of AI, rapid technological transformation has never been more crucial than it is […]
This is part of my series on GenAI Services in Azure: Azure OpenAI Service – Infra and Security Stuff Azure OpenAI Service – Authentication Azure OpenAI […]
In this episode of the Azure Essentials Show, Thomas and Freddy discuss the common challenges and best practices for deploying generative AI applications using Open AI […]