Building Applications with AI Agents — Michael Albada, Microsoft скачать в хорошем качестве

Building Applications with AI Agents — Michael Albada, Microsoft

Generative AI has dramatically shortened the distance between ideas and implementation, enabling faster prototyping and deployment than ever before. But while language models can streamline individual tasks, true transformation comes from combining these capabilities into intelligent, autonomous systems—AI agents. This talk explores how to build and deploy foundation model-enabled agent systems that go beyond simple prompt chaining or chatbots. Drawing from real-world implementations and the latest research, it offers a clear and practical path to designing both single-agent and multi-agent systems capable of handling complex workflows with minimal oversight. Attendees will gain a deeper understanding of the core design principles behind agentic systems, the architectural trade-offs involved in orchestrating multiple agents, and the strategies required to develop tailored solutions that enhance efficiency and innovation. Whether just beginning or scaling up, participants will leave with actionable insights to navigate the rapidly evolving world of AI autonomy. --related links-- https://x.com/michaelalbada   / albada   https://theneuralnexus.substack.com/ https://michaelalbada.com Timestamps 00:00 - Introduction by Michael Albada, Principal Applied Scientist at Microsoft. 01:14 - The Promise and Obstacles of Agentic Development. 02:37 - Defining What an AI Agent Is (and Isn't). 04:42 - Core Component 1: Tool Use and Function Calling. 06:37 - Core Component 2: Orchestration Patterns (Chains, Trees, Agentic). 08:47 - Core Component 3: Multi-Agent Systems. 09:43 - Common Pitfall 1: Insufficient Evaluation. 11:25 - Overview of specific Evaluation Tools. 12:57 - Common Pitfall 2: Lack of Observability. 13:50 - Other Common Pitfalls (Tool issues, complexity). 14:45 - The Critical Importance of Security and Safety. 15:15 - Conclusion and Future Outlook.