AI Agents: Key Principles and Guidelines - Part 3
This blog post, the third in a series on AI agents, focuses on user-centric design principles for building effective and trustworthy agentic systems. Drawing from the "Agentic Design Patterns" section of Microsoft's "AI Agents for Beginners" GitHub repository, the post outlines key principles categorized by Agent (Space), Agent (Time), and Agent (Core). These principles emphasize connection, accessibility, leveraging historical context, adapting to future needs, and establishing trust through transparency and control. Practical implementation guidelines are provided, along with a travel agent example to illustrate how these principles can be applied in real-world scenarios. The post also links to additional resources and previous installments in the series for a comprehensive learning experience.
New Akka Streams and Apache Flink tutorials/samples for Event Hubs for Apache Kafka Ecosystems
First published on on Jun 13, 2018 Introducing two new Event Hubs for Apache Kafka Ecosystems tutorials - Akka Streams and Apache Flink!Event Hubs for Kafka Ecosystems combines the power and simplicity of Event Hubs with the wide ecosystem of Apache Kafka.Using Microsoft Learn new API to enable amazing content for a blended learning curricula
Welcome to the new Microsoft Learn Catalog API (Beta) The Microsoft Learn Catalog API (beta) lets you send a web-based query to Microsoft Learn and get back details about published content such as titles, products covered, and links to the training.
