Building Effective AI Agents: Insights and Strategies скачать в хорошем качестве

Building Effective AI Agents: Insights and Strategies

In this video, I discuss the common mistakes people make when developing AI agents, emphasizing the importance of understanding the job and ensuring a proper job-person role fit. I highlight that many developers fail to grasp the intricacies of the tasks they are automating, which leads to ineffective AI solutions. I also stress the need for testing and simulation, both for code and human roles, to avoid significant pitfalls in production. Action is requested from you to brainstorm how to recreate a potential person using relevant data, as we aim to build accurate simulations for our AI agents. Let's leverage our existing data to enhance our understanding and effectiveness in this area. 00:00 Introduction and Qualifications 04:23 Human vs. AI Processes 06:32 Hiring and Training AI 08:14 Job Person Role Fit 10:55 Importance of Testing 14:23 Feedback from Production 16:21 Trial Process for AI Agents 19:11 Building Accurate Models 20:51 Gathering Data for Simulation 22:34 Response Simulation Process 24:17 Modeling Counterparty Behavior 26:20 Generating Effective Communication 28:04 Data Package for AI Modeling 29:58 Reconstructing Human Personas 34:27 Prioritizing Data for AI