AI agents vs. AI assistants

Media Thumbnail
00:00
00:00
1x
  • 0.5
  • 1
  • 1.25
  • 1.5
  • 1.75
  • 2
This is a podcast episode titled, AI agents vs. AI assistants. The summary for this episode is: <p>This episode of <em>Techsplainers</em> provides an in-depth exploration of AI agents and AI assistants, comparing and contrasting their functionalities and capabilities. The podcast explains that AI assistants are reactive, performing tasks based on user commands, while AI agents are proactive, autonomously achieving specific goals. The discussion also delves into the structure and features of both types of AI, including conversational AI, prompts, recommendations, and tuning for assistants, and autonomy, decision-making, connectivity, persistent memory, and adaptive learning for agents. Real-world applications and potential benefits of both technologies are highlighted, along with current limitations and risks.</p><p><br></p><p>Find more information at https://www.ibm.com/think/podcasts/techsplainers</p><p><br></p><p><strong>Narrated by Alice Gomstyn</strong></p>

DESCRIPTION

AI Agents, Artificial Intelligence, Machine Learning, Reflex Agents, Model-Based Agents, Goal-Based Agents, Utility-Based Agents, Learning Agents, Multi-Agent Systems, Agentic AI.