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An Autonomy-Based Classification Adopting an autonomy-based classification, we suggest, is a useful first step toward developing legal categories for AI agents and establishing appropriate liability frameworks
AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and . . . Abstract This review critically distinguishes between AI Agents and Agentic AI, offering a structured conceptual taxonomy, application mapping, and challenge analysis to clarify their divergent design philosophies and capabilities
Agents - OpenAI API Agents are systems that intelligently accomplish tasks—from simple goals to complex, open-ended workflows OpenAI provides models with agentic strengths, a toolkit for agent creation and deploys, and dashboard features for monitoring and optimizing agents
Guide to OpenAI’s Agentic Framework for AI Development OpenAI’s Agentic Framework is an advanced, minimal, and lightweight platform for AI development Designed with simplicity in mind, it aims to allow developers by providing a streamlined way to manage and orchestrate multiple agents within a workflow
AI Deep Dive | Agent Taxonomy - Deconstructing Basic Forms of AI . . . From chatbots to digital workers, AI agents are revolutionizing how we interact with artificial intelligence This comprehensive guide explores their capabilities, classifications, and future potential in shaping the AI landscape
A six-category taxonomy for navigating GenAI | EY - Global From retrieval-augmented generation (RAG) patterns to cutting-edge AI agents, understanding the right framework is key Our six-category taxonomy for GenAI is a strategic framework to classify and implement AI use cases effectively
Unveiling OpenAIs Groundbreaking AI Classification System OpenAI has introduced a new classification system consisting of five levels to track its advancements towards building artificial intelligence software that can surpass human capabilities This move aims to enhance transparency regarding OpenAI's approach to safety and the future of AI
[2505. 10468] AI Agents vs. Agentic AI: A Conceptual Taxonomy . . . Through a chronological evaluation of architectural evolution, operational mechanisms, interaction styles, and autonomy levels, we present a comparative analysis across both AI agents and agentic AI paradigms