agentic ai

Overview This article addresses the critical aspects of AI ethics and responsible AI development, providing frameworks and practical guidance for building ethical AI products. Key Topics • Principles of responsible AI• Bias detection and mitigation strategies• Privacy and data protection• Transparency and explainability• Governance frameworks and compliance Technical Dive Responsible AI encompasses the development, deployment, … Read more

Overview This article provides comprehensive guidance on prompt engineering techniques, optimization strategies, and best practices for maximizing AI model performance through effective prompting. Key Topics • Prompt engineering fundamentals• Advanced prompting techniques• Optimization strategies and best practices• Prompt evaluation and iteration• Domain-specific applications Technical Dive Prompt engineering involves crafting input prompts to achieve accurate and … Read more

Introduction GPT-5 is redefining what’s possible with conversational AI. Whether you’re building apps, launching new products, or coordinating teams, understanding GPT-5’s capabilities is crucial to maintaining a competitive edge as an AI product manager. Below, we’ll break down its game-changing features and provide concrete examples of how to deploy them strategically. Must-Know GPT-5 Features Product … Read more

Overview This article explores the emerging field of agentic AI, where AI systems operate autonomously to accomplish goals with minimal human supervision. It covers technical architecture, implementation strategies, and product management considerations. Key Topics • Agentic AI vs. traditional AI systems• Agent architecture and core components• Multi-agent systems and coordination• Planning, reasoning, and action execution• … Read more

Overview This foundational article introduces generative AI concepts, technologies, and business applications, providing product managers with essential knowledge to understand and leverage generative AI in their products. Key Topics • Understanding generative AI vs. traditional AI models• Large Language Models (LLMs) architecture and capabilities• Transformer architecture and attention mechanisms• Foundation models and pre-training concepts• Generative … Read more