Jayanti prasad Ph.D·Oct 28Creating a simple AI agent with LangChain create_agentAI agents can involve many components, at least the following four are essential :
Imoh Etuk·Sep 4, 2025LLMs vs AI Agents: Understanding the Difference, the Synergy, and the ImpactAI Agent Workflow fully integrated with Security & Monitoring
Baris Bilen·Jun 30, 2025Implementation of context-aware LLM chat models using Azure OpenAIA simple, practical guide on implementing contextually-aware custom chat models and common pitfalls
InMicrosoftbyAkihiro Nishikawa·May 22, 2025Collect token usages, prompt, and completion logs from Azure OpenAI Service behind Azure API…The original post (Japanese) was published on 21 May 2025.
Rajesh Kumaran·Apr 28, 2025Building a Personal Assistant with Multi-Agent Architecture using LangChainIntroduction
Kiran Ponugoti·Feb 9, 2025Building an Intelligent Agent for VM Optimization Using Semantic Kernel and Azure Log AnalyticsIn this article, we’ll walk through how to create a Semantic Kernel plugin that can query Azure Monitor’s Log Analytics data to identify…
Chuck Beasley·Jan 27, 2025How to Support Multiple Deployment Endpoints in Azure OpenAIMicrosoft Azure OpenAI supports a wide array of chat completion options. The following image displays a portion of those options:
Ilakkuvaselvi (Ilak) Manoharan·Sep 1, 2024328. Harnessing the Power of Azure OpenAI Service: Capabilities, Features, and Use CasesUnleashing Generative AI for Modern Applications with Microsoft’s Azure OpenAI Service